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Start 2026 with the ClickHouse India community in Gurgaon!

Connect with fellow data practitioners and hear from industry experts through engaging talks focused on lessons learned, best practices, and modern data challenges.

Agenda:

  • 10:30 AM: Registration, light snacks & networking
  • 11:00 AM: Welcome & Introductions
  • 11:10 AM: Inside ClickStack: Engineering Observability for Scale by Rakesh Puttaswamy, Lead Solutions Architect @ ClickHouse
  • 11:35 AM: Supercharging Personalised Notifications At Jobhai With ClickHouse by Sumit Kumar and Arvind Saini, Tech Leads @ Info Edge
  • 12:00 PM: Simplifying CDC: Migrating from Debezium to ClickPipes by Abhash Solanki, DevOps Engineer @ Spyne AI
  • 12:25 PM: Solving Analytics at Scale: From CDC to Actionable Insights by Kunal Sharma, Software Developer @ Samarth eGov
  • 12:50 PM: Q&A
  • 1:30 PM: Lunch & Networking

👉🏼 RSVP to secure your spot!

Interested in speaking at this meetup or future ClickHouse events? 🎤Shoot an email to [email protected] and she'll be in touch.

******** 🎤 Session Details: Inside ClickStack: Engineering Observability for Scale Dive deep into ClickStack, ClickHouse’s fresh approach to observability built for engineers who care about speed, scale, and simplicity. We’ll unpack the technical architecture behind how ClickStack handles metrics, logs, and traces using ClickHouse as the backbone for real-time, high-cardinality analytics. Expect a hands-on look at ingestion pipelines, schema design patterns, query optimization, and the integrations that make ClickStack tick.

Speaker: Rakesh Puttaswamy, Lead Solutions Architect @ ClickHouse

🎤 Session Details: Supercharging Personalised Notifications At Jobhai With ClickHouse Calculating personalized alerts for 2 million users is a data-heavy challenge that requires more than just standard indexing. This talk explores how Jobhai uses ClickHouse to power its morning notification pipeline, focusing on the architectural shifts and query optimizations that made our massive scale manageable and fast.

Speaker: Sumit Kumar and Arvind Saini, Tech Leads @ Info Edge Sumit is a seasoned software engineer with deep expertise in databases, backend systems, and machine learning. For over six years, he has led the Jobhai engineering team, driving continuous improvements across their database infrastructure and user-facing systems while streamlining workflows through ongoing innovation. Connect with Sumit Kumar on LinkedIn.

Arvind is a Tech Lead at Info Edge India Ltd with experience building and scaling backend systems for large consumer and enterprise platforms. Over the years, they have worked across system design, backend optimization, and data-driven services, contributing to initiatives such as notification platforms, workflow automation, and product revamps. Their work focuses on improving reliability, performance, and scalability of distributed systems, and they enjoy solving complex engineering problems while mentoring teams and driving technical excellence.

🎤 Session Details: Simplifying CDC: Migrating from Debezium to ClickPipes In this talk, Abhash will share their engineering team's journey migrating our core MySQL and MongoDB CDC flows to ClickPipes. We will contrast our previous architecture—where every schema change required manual intervention or complex Debezium configurations—with the new reality of ClickPipes' automated schema evolution, which seamlessly handles upstream schema changes and ingests flexible data without breaking pipelines.

Speaker: Abhash Solanki, DevOps Engineer @ Spyne AI Abhash serves as a DevOps Engineer at Spyne, orchestrating the AWS infrastructure behind the company's data warehouse and CDC pipelines. Having managed complex self-hosted Debezium and Kafka clusters, he understands the operational overhead of running stateful data stacks in the cloud. He recently led the architectural shift to ClickHouse Cloud, focusing on eliminating engineering toil and automating schema evolution handling.

🎤 Session Details: Solving Analytics at Scale: From CDC to Actionable Insights As SAMARTH’s data volumes grew rapidly, our analytics systems faced challenges with frequent data changes and near real-time reporting. These challenges were compounded by the platform’s inherently high cardinality in multidimensional data models - spanning institutions, programmes, states, categories, workflow stages, and time, resulting in highly complex and dynamic query patterns.

This talk describes how we evolved from basic CDC pipelines to a fast, reliable, and scalable near real-time analytics platform using ClickHouse. We share key design and operational learnings that enabled us to process continuous high-volume transactional data and deliver low-latency analytics for operational monitoring and policy-level decision-making.

Speaker: Kunal Sharma, Software Developer @ Samarth eGov Kunal Sharma is a data-focused professional with experience in building scalable data pipelines. His work includes designing and implementing robust ETL/ELT workflows, data-driven decision engines, and large-scale analytics platforms. At SAMARTH, he has contributed to building near real-time analytics systems, including the implementation of ClickHouse for large-scale, low-latency analytics.

ClickHouse Gurgaon/Delhi Meetup

From Tuesday, December 9 (11:30 - 18:00) to Wednesday, December 10, 2025 (08:45 – 18:00), Paris becomes the epicenter of context-integrated GraphRAG. Join top builders, researchers, and engineers to prototype the next generation of Model Context Protocol integrations for graphRAG databases — and explore how structured memory can unlock reasoning at scale.

Space is limited and we’re screening for hands-on talent. If you work with LLMs, RAG, or graph-based reasoning, secure your spot early — once full, the waitlist opens.

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches. Golden Pass Value: Your acceptance grants you a free pass to GenerationAI, apidays, AND GreenIO Paris—that’s 4 conferences normally valued at 999€, for the price of zero: To access the apidays conference component, use this promo link for a Regular Ticket.

Model Context Protocol Integrations for GraphRAG We’re bridging the gap between language models and structured data systems. Expect a full day of experimentation around:

  • Context persistence across graph nodes
  • Dynamic retrieval and reasoning from structured sources
  • Hybrid memory architectures (Graph + RAG)
  • MCP interfaces for multi-agent collaboration and explainability
  • Visual query builders and interpretable context trails

Whether you’re a backend engineer, data scientist, or AI tinkerer, bring your boldest ideas — we’ll connect you with mentors and teammates to make them real. --- We’ll reward projects that are working, elegant, and context-smart. Extra points for:

  • Seamless MCP ↔ Graph integration
  • Context-aware reasoning or dynamic retrieval
  • Real-world usefulness and open-source potential
  • Clear UX for developers and data teams

--- The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches (because who codes on an empty stomach?). But here’s the kicker: your acceptance isn’t just for the hackathon. It’s a golden pass to GenerationAI, apidays, AND GreenIO Paris. That’s 4 conferences — normally valued at 999€ — for the price of zero. Yes… we said zero. You’re welcome. --- 🏆 What You Win: We recognize excellence in GraphRAG and MCP integration!

  1. Scalingo Credits: The overall winning team and the winners of the Scalingo track each receive a €270 coupon code for the PaaS.
  2. The Ultimate Pass: All attendees gain a free “Golden Pass” granting access to GenerationAI, apidays, and GreenIO Paris (a €999 value).

Come build smart context and walk away with credits and conference access! 🧠💳


The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches (because who codes on an empty stomach?). But here’s the kicker: your acceptance isn’t just for the hackathon. It’s a golden pass to GenerationAI, apidays, AND GreenIO Paris. That’s 4 conferences — normally valued at 999€ — for the price of zero. Yes… we said zero. You’re welcome.


Sponsors

Neo4j - Neo4j is a leading graph database platform that empowers AI developers to harness the power of connected data. Their technology enables efficient storage\, analysis\, and visualization of complex data relationships\, integrating seamlessly with popular AI and machine learning tools. Neo4j’s features\, including native graph storage and advanced algorithms\, make it ideal for powering AI applications like knowledge graphs and recommendation systems\, helping developers extract deeper insights from their data.

Scalingo is a European Platform as a Service (PaaS) designed to simplify cloud hosting and database management for developers. It enables rapid deployment, management, and scaling of web applications, supporting over 50 runtimes and integrating seamlessly with major databases like PostgreSQL, MySQL, and MongoDB. With features like auto-scaling, continuous deployment, real-time monitoring, and robust security, Scalingo empowers tech teams to focus on coding rather than infrastructure. New users can enjoy a 30-day free trial to experience its developer-friendly environment and top-notch support.

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches. Golden Pass Value: Your acceptance grants you a free pass to GenerationAI, apidays, AND GreenIO Paris—that’s 4 conferences normally valued at 999€, for the price of zero: To access the apidays conference component, use this promo link for a Regular Ticket. We review applications daily — keep an eye on your inbox (and spam folder). If your plans change, please release your spot so someone else can join.


Hit Register above. Share your GitHub / LinkedIn / X handle and tell us what you’ll build. Let’s connect LLMs and Graphs — and prototype the next leap in contextual intelligence, powered by Scalingo and Neo4

Turn Your Knowledge into an LLM‑Ready API - Hackathon @ Generation AI

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Hear talks from experts on the latest topics in AI, ML, and computer vision.

Date and Time

Oct 2 at 9 AM Pacific

Location

Virtual. Register for the Zoom.

The Hidden Order of Intelligent Systems: Complexity, Autonomy, and the Future of AI

As artificial intelligence systems grow more autonomous and integrated into our world, they also become harder to predict, control, and fully understand. This talk explores how complexity theory can help us make sense of these challenges, by revealing the hidden patterns that drive collective behavior, adaptation, and resilience in intelligent systems. From emergent coordination among autonomous agents to nonlinear feedback in real-world deployments, we’ll explore how order arises from chaos, and what that means for the next generation of AI. Along the way, we’ll draw connections to neuroscience, agentic AI, and distributed systems that offer fresh insights into designing multi-faceted AI systems.

About the Speaker

Ria Cheruvu is a Senior Trustworthy AI Architect at NVIDIA. She holds a master’s degree in data science from Harvard and teaches data science and ethical AI across global platforms. Ria is passionate about uncovering the hidden dynamics that shape intelligent systems—from natural networks to artificial ones.

Managing Medical Imaging Datasets: From Curation to Evaluation

High-quality data is the cornerstone of effective machine learning in healthcare. This talk presents practical strategies and emerging techniques for managing medical imaging datasets, from synthetic data generation and curation to evaluation and deployment.

We’ll begin by highlighting real-world case studies from leading researchers and practitioners who are reshaping medical imaging workflows through data-centric practices. The session will then transition into a hands-on tutorial using FiftyOne, the open-source platform for visual dataset inspection and model evaluation. Attendees will learn how to load, visualize, curate, and evaluate medical datasets across various imaging modalities.

Whether you're a researcher, clinician, or ML engineer, this talk will equip you with practical tools and insights to improve dataset quality, model reliability, and clinical impact.

About the Speaker

Paula Ramos has a PhD in Computer Vision and Machine Learning, with more than 20 years of experience in the technological field. She has been developing novel integrated engineering technologies, mainly in Computer Vision, robotics, and Machine Learning applied to agriculture, since the early 2000s in Colombia.

Building Agents That Learn: Managing Memory in AI Agents

In the rapidly evolving landscape of agentic systems, memory management has emerged as a key pillar for building intelligent, context-aware AI Agents. Different types of memory, such as short-term and long-term memory, play distinct roles in supporting an agent's functionality. In this talk, we will explore these types of memory, discuss challenges with managing agentic memory, and present practical solutions for building agentic systems that can learn from their past executions and personalize their interactions over time.

About the Speaker

Apoorva Joshi is a Data Scientist turned Developer Advocate, with over 7 years of experience applying machine learning to problems in domains such as cybersecurity and mental health. As an AI Developer Advocate at MongoDB, she now helps developers be successful at building AI applications through written content and hands-on workshops.

Human-Centered AI: Soft Skills That Make Visual AI Work in Manufacturing

Visual AI systems can spot defects and optimize workflows—but it’s people who train, deploy, and trust the results. This session explores the often-overlooked soft skills that make Visual AI implementations successful: communication, cross-functional collaboration, documentation habits, and on-the-floor leadership. Sheena Yap Chan shares practical strategies to reduce resistance to AI tools, improve adoption rates, and build inclusive teams where operators, engineers, and executives align. Attendees will leave with actionable techniques to drive smoother, people-first AI rollouts in manufacturing environments.

About the Speaker

Sheena Yap Chan is a Wall Street Journal Bestselling Author, leadership speaker and consultant who helps organizations develop confidence, communication, and collaboration skills that drive innovation and team performance—especially in high-tech, high-change industries. She’s worked with leaders across engineering, operations, and manufacturing to align people with digital transformation goals.

Oct 2 - Women in AI Virtual Event

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

  • Events chat: chat and connect with speakers and global and local attendees;
  • Learning AI: events, learning materials, study groups;
  • Startups: innovation, projects collaborations, founders/co-founders;
  • Jobs and Careers: job openings, post resumes, hiring managers *
Oracle AI Webinar Series (Ep 3) - LLMs for Workflows

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

  • Events chat: chat and connect with speakers and global and local attendees;
  • Learning AI: events, learning materials, study groups;
  • Startups: innovation, projects collaborations, founders/co-founders;
  • Jobs and Careers: job openings, post resumes, hiring managers *
Oracle AI Webinar Series (Ep 3) - LLMs for Workflows

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

  • Events chat: chat and connect with speakers and global and local attendees;
  • Learning AI: events, learning materials, study groups;
  • Startups: innovation, projects collaborations, founders/co-founders;
  • Jobs and Careers: job openings, post resumes, hiring managers *
Oracle AI Webinar Series (Ep 3) - LLMs for Workflows

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

  • Events chat: chat and connect with speakers and global and local attendees;
  • Learning AI: events, learning materials, study groups;
  • Startups: innovation, projects collaborations, founders/co-founders;
  • Jobs and Careers: job openings, post resumes, hiring managers *
Oracle AI Webinar Series (Ep 3) - LLMs for Workflows

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

  • Events chat: chat and connect with speakers and global and local attendees;
  • Learning AI: events, learning materials, study groups;
  • Startups: innovation, projects collaborations, founders/co-founders;
  • Jobs and Careers: job openings, post resumes, hiring managers *
Oracle AI Webinar Series (Ep 3) - LLMs for Workflows

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Welcome to the weekly AI virtual seminars, in collaboration with Oracle. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: How an LLM can revolutionize your workflows when it can work with your databases Speakers: Kris Rice (Oracle) \| Jeff Smith (Oracle) Abstract: LLMs have been trained on almost everything, but probably not your data - the stuff you keep in your databases. In this session, Oracle Database’s product team will demonstrate the types of problems and tasks your favorite LLMs can help solve via an MCP Server for the database. Tune your bad SQL, explore and explain your data, or even build applications. We like lots of interaction and feedback, so come prepared to challenge and question us!

More upcoming sessions:

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

  • Events chat: chat and connect with speakers and global and local attendees;
  • Learning AI: events, learning materials, study groups;
  • Startups: innovation, projects collaborations, founders/co-founders;
  • Jobs and Careers: job openings, post resumes, hiring managers *
Oracle AI Webinar Series (Ep 3) - LLMs for Workflows

We are thrilled to welcome you to our in-person Meetup in London in collaboration with Confluent! The event will be hosted by TurinTech AI.

When March 27, 18:00 - 21:00

Where 1 Finsbury Ave, London EC2M 2PF

Agenda 18:00 - 18:30 Doors open 18:00 - 18:30 Food & Drinks and Networking 18:30 - 19:00 TurinTech AI / Welcome 19:00 - 19:45 [Talk 1] Extending the worlds most used API platform to Kafka -- Why it matters, what's here today, what's coming and how to learn more by Johannes Brännström (Staff Solutions Engineer, Kong) 19:45 - 20:30 [Talk 2] Unlock full end-to-end tracing through Kong and Kafka with OpenTelemetry from Harry Kimpel (Principal Developer Relations Engineer, New Relic) 20:30 - 21:00 Additional Q&A and Networking

Talks 1) Extending the worlds most used API platform to Kafka -- Why it matters, what's here today, what's coming and how to learn more In this talk, we’ll explore how Kong facilitates the way Kafka users interact with both synchronous and asynchronous APIs. Through the lens of example companies, we'll showcase how Kong helps manage and optimize their API ecosystems, balancing the needs for real-time event streaming with traditional API patterns. Attendees will gain an understanding of Kong’s current capabilities for Kafka integration, highlighting key features that enable smooth API management, enhanced scalability, and reliability. We'll also offer ways for you to get first-hand experience. Looking ahead, we’ll share exciting developments on the horizon, including upcoming features, enhancements that will further empower Kafka users as well as learn more.

2) Unlock full end-to-end tracing through Kong and Kafka with OpenTelemetry Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. Another key component of such an architecture is securing and exposing endpoints with a powerful platform such as Kong. All of this makes it challenging to understand how your microservices are working together.

However, it is possible to observe your Kong Gateway interactions and Kafka-based applications with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this talk I will leverage a simple application to show how you can achieve this.

Speakers Johannes Brännström (Staff Solutions Engineer, Kong) Joining Kong from MongoDB & Red Hat Johannes is passionate about agile, modern application architecture and continuous delivery in all areas required to build great software.highly available.

Harry Kimpel (Principal Developer Relations Engineer, New Relic) Passionate software craftsman with 25+ years experience in a broad spectrum of development technologies and platforms. Mostly focusing on .NET/C#, the Microsoft development stack and cloud-native software architectures. Key focus also on Microsoft Azure as well as Amazon Web Services (AWS) and Google Cloud Platform (GCP). Observability, monitoring and securing these environments are key aspects. Currently extremely interested in the Distributed Application Runtime (Dapr).

See you there! Kong Community Team

By registering for this event, I understand that my personal information will be processed in accordance with Kong's Privacy Policy.

In-PERSON: Apache Kafka® x Kong Meetup in London

We are excited to finally have the first ClickHouse Meetup in the vibrant city of Delhi! Join the ClickHouse crew, from Singapore and from different cities in India, for an engaging day of talks, food, and discussion with your fellow database enthusiasts.

But here's the deal: to secure your spot, make sure you register ASAP!

🗓️ Agenda:

  • 10:30 AM: Registration & Networking
  • 11:05 AM: Welcome & Opening
  • 11:10 AM: Introduction to ClickHouse by Rakesh Puttaswamy, Solution Architect @ ClickHouse
  • 11:25 AM: ClickPipes Overview and demo by Kunal Gupta, Sr. Software Engineer @ ClickHouse
  • 11:40 AM: Optimizing Log Management with Clickhouse: Cost-Effective & Scalable Solutions by Pushpender Kumar, DevOps Architect @ OLX India
  • 12:10 PM: ClickHouse at Physics Wallah: Empowering Real-Time Analytics at Scale by Utkarsh G. Srivastava, Software Development Engineer III @ Physics Wallah
  • 12:40 PM: FabFunnel & ClickHouse: Delivering Real-Time Marketing Analytics by Anmol Jain, SDE-2 (Full stack Developer) and Siddhant Gaba, SDE-2 (Python), @ Idea Clan
  • 1:10 PM: From SQL to AI: Building Intelligent Applications with ClickHouse and LangDB by Matteo Pelati, Co-founder, LangDB.ai
  • 1:40 PM: Lunch & Networking

If anyone from the community is interested in sharing a talk at future meetups, complete this CFP form and we’ll be in touch. _______

🎤 Session Details: Introduction to ClickHouse Discover the secrets behind ClickHouse's unparalleled efficiency and performance. Johnny will give an overview of different use cases for which global companies are adopting this groundbreaking database to transform data storage and analytics.

Speaker: Rakesh Puttaswamy, Solution Architect @ ClickHouse Rakesh Puttaswamy is a Solution Architect with ClickHouse, working with users across India, with over 12 years of experience in data architecture, big data, data science, and software engineering.Rakesh helps organizations design and implement cutting-edge data-driven solutions. With deep expertise in a broad range of databases and data warehousing technologies, he specializes in building scalable, innovative solutions to enable data transformation and drive business success.

🎤 Session Details: ClickPipes Overview and demo ClickPipes is a powerful integration engine that simplifies data ingestion at scale, making it as easy as a few clicks. With an intuitive onboarding process, setting up new ingestion pipelines takes just a few steps—select your data source, define the schema, and let ClickPipes handle the rest. Designed for continuous ingest, it automates pipeline management, ensuring seamless data flow without manual intervention. In this talk, Kunal will demo the Postgres CDC connector for ClickPipes, enabling seamless, native replication of Postgres data to ClickHouse Cloud in just a few clicks—no external tools needed for fast, cost-effective analytics.

Speaker: Kunal Gupta, Sr. Software Engineer @ ClickHouse Kunal Gupta is a Senior Software Engineer at ClickHouse, joining through the acquisition of PeerDB in 2024, where he played a pivotal role as a founding engineer. With several years of experience in architecting scalable systems and real-time applications, Kunal has consistently driven innovation and technical excellence. Previously, he was a founding engineer for new solutions at ICICIdirect and at AsknBid Tech, leading high-impact teams and advancing code analysis, storage solutions, and enterprise software development.

🎤 Session Details: Optimizing Log Management with Clickhouse: Cost-Effective & Scalable Solutions Efficient log management is essential in today's cloud-native environments, yet traditional solutions like ElasticSearch often face scalability issues, high costs, and performance limitations. This talk will begin with an overview of common logging tools and their challenges, followed by an in-depth look at ClickHouse's architecture. We will compare ClickHouse with ElasticSearch, focusing on improvements in query performance, storage efficiency, and overall cost-effectiveness.

A key highlight will be OLX India's migration to ClickHouse, detailing the motivations behind the shift, the migration strategy, key optimizations, and the resulting 50% reduction in log storage costs. By the end of this talk, attendees will gain a clear understanding of when and how to leverage ClickHouse for log management, along with best practices for optimizing performance and reducing operational costs.

Speaker: Pushpender Kumar, DevOps Architect @ OLX India Born and raised in Bijnor, moved to Delhi to stay ahead in the race of life. Currently working as a DevOps Architect at OLX India, specializing in cloud infrastructure, Kubernetes, and automation with over 10 years of experience. Successfully optimized log storage costs by 50% using Clickhouse, bringing scalability and efficiency to large-scale logging systems. Passionate about cloud optimization, DevOps hiring, and performance engineering.

🎤 Session Details: ClickHouse at Physics Wallah: Empowering Real-Time Analytics at Scale This session explores how Physics Wallah revolutionized its real-time analytics capabilities by leveraging ClickHouse. We'll delve into the journey of implementing ClickHouse to efficiently handle large-scale data processing, optimize query performance, and power diverse use cases such as user activity tracking and engagement analysis. By enabling actionable insights and seamless decision-making, this transformation has significantly enhanced the learning experience for millions of users.

Today, more than five customer-facing products at Physics Wallah are powered by ClickHouse, serving over 10 million students and parents, including 1.5 million Daily Active Users. Our in-house ClickHouse cluster, hosted and managed within our EKS infrastructure on AWS Cloud, ingests more than 10 million rows of data daily from various sources. Join us to learn about the architecture, challenges, and key strategies behind this scalable, high-performance analytics solution.

Speaker: Utkarsh G. Srivastava, Software Development Engineer III @ Physics Wallah As a versatile Software Engineer with over 7 years of experience in the IT industry, I have had the privilege of taking on diverse roles, with a primary focus on backend development, data engineering, infrastructure, DevOps, and security. Throughout my career, I have played a pivotal role in transformative projects, consistently striving to craft innovative and effective solutions for customers in the SaaS space.

🎤 Session Details: FabFunnel & ClickHouse: Delivering Real-Time Marketing Analytics We are a performance marketing company that relies on real-time reporting to drive data-driven decisions and maximize campaign effectiveness. As our client base expanded, we encountered significant challenges with our reporting system—frequent data updates meant handling large datasets inefficiently, leading to slow query execution and delays in delivering insights. This bottleneck hindered our ability to provide timely optimizations for ad campaigns. To address these issues, we needed a solution that could handle rapid data ingestion and querying at scale without the overhead of traditional refresh processes. In this talk, we’ll share how we transformed our reporting infrastructure to achieve real-time insights, enhancing speed, scalability, and efficiency in managing large-scale ad performance data.

Speakers: Anmol Jain, SDE-2 (Full stack Developer), & Siddhant Gaba, SDE-2 (Python) @ Idea Clan From competing as a national table tennis player to building high-performance software, Anmol Jain brings a unique mix of strategy and problem-solving to tech. With 3+ years of experience at Idea Clan, they play a key role in scaling Lookfinity and FabFunnel, managing multi-million-dollar ad spends every month. Specializing in ClickHouse, React.js, and Node.js, Anmol focuses on real-time data processing and scalable backend solutions. At this meet-up, they’ll share insights on solving reporting challenges and driving real-time decision-making in performance marketing.

Siddhant Gaba is an SDE II at Idea Clan, with expertise in Python, Java, and C#, specializing in scalable backend systems. With four years of experience working with FastAPI, PostgreSQL, MongoDB, and ClickHouse, he focuses on real-time analytics, database optimization, and distributed systems. Passionate about high-performance computing, asynchronous APIs, and system design, he aims to advance real-time data processing. Outside of work, he enjoys playing volleyball. At this meetup, he will share insights on how ClickHouse transformed real-time reporting and scalability.

🎤 Session Details: From SQL to AI: Building Intelligent Applications with ClickHouse and LangDB As AI becomes a driving force behind innovation, building applications that seamlessly integrate AI capabilities with existing data infrastructures is critical.

In this session, we explore the creation of agentic applications using ClickHouse and LangDB. We will introduce the concept of an AI gateway, explaining its role in connecting powerful AI models with the high-performance analytics engine of ClickHouse. By leveraging LangDB, we demonstrate how to directly interact with AI functions as User-Defined Functions (UDFs) in ClickHouse, enabling developers to design and execute complex AI workflows within SQL.

Additionally, we will showcase how LangDB facilitates deep visibility into AI function behaviors and agent interactions, providing tools to analyze and optimize the performance of AI-driven logic. Finally, we will highlight how ClickHouse, powered by LangDB APIs, can be used to evaluate and refine the quality of LLM responses, ensuring reliable and efficient AI integrations.

Speaker: Matteo Pelati, Co-founder, LangDB.ai Matteo Pelati is a seasoned software engineer with over two decades of experience, specializing in data engineering for the past ten years. He is the co-founder of LangDB, a company based in Singapore building the fastest Open Source AI Gateway. Before founding LangDB, he was part of the early team at DataRobot, where he contributed to scaling their product for enterprise clients. Subsequently, he joined DBS Bank where he built their data platform and team from the ground up. Prior to starting LangDB, Matteo led the data group for Asia Pacific and data engineering at Goldman Sachs.

ClickHouse Delhi/Gurgaon Meetup - March 2025

Please join us on 4th December, 2024 to listen to the topic: Leveraging Azure AI and Python for Data-Driven Decision Making with Taiob Ali

What \~ Toronto Data Professionals Community (Virtual) When \~ Wednesday, December 4th, 2024

Agenda:

  • 6:00 PM Networking and Introduction
  • 6:15 PM Topic: Leveraging Azure AI and Python for Data-Driven Decision Making with Taiob Ali
  • 7:30 PM End

Where: Online via Microsoft team

Session Details: In this technical talk, we will explore how to harness the power of Azure AI, Azure AI Studio, Azure Search Services, and large language models to extract valuable decision-making data from the Azure SQL Database.

We will begin by discussing Azure AI and its capabilities. Starting with a clean slate, build a solution using Azure AI Studio and its user-friendly interface that can chat with an SQL database, helping make data-driven decisions without writing code. This solution will delve into Azure Search Services, highlighting how it can be used to efficiently index and query data.

The second part of the presentation will focus on utilizing large language models and Python notebooks to extract and analyze data from the Azure SQL Database. Attendees will learn how to set up their environment, connect to the database, and implement AI-driven solutions (talk to the database).

By the end of the session, participants will have a solid foundation in using Azure AI and Python for data-driven decision-making, empowering them to leverage these tools in their projects.

Speaker Bio: Taiob Ali, Microsoft Data Platform MVP, is an accomplished technical leader with a proven record of success. During his last 17 years, he has worked with the Microsoft Data Platform and MongoDB on-premises and in the cloud. His experience includes all three major business sectors: finance, e-commerce, and healthcare.

Taiob works at "GMO LLC" as a database solutions manager, focusing on cloud migration, automation, and improving and streamlining operational workflow. He regularly speaks at local and international conferences, SQL Saturdays, and Azure conferences. He is a board member of the New England SQL Server User Group, founder of 'Database Professionals Virtual Meetup Group', and organizer of Boston SQL Saturday.

Leveraging Azure AI and Python for Data-Driven Decision Making

Hello Testers,

​After the passionate response on one of our past offline events in Berlin, we’re here to bring you all together again. ​ We’ve brought The Test Tribe 2nd Berlin Meetup to all of you!

Excited To Know When It’s Happening?Date: 30th October 2024Time: 06:00 PM to 08:00 PM CETVenue: N26, Voltairestraße 8, 10179 Berlin, Germany

Session #1: Hidden Pillars of Testing

​"Hidden Pillars of Testing" would shed light on few critical yet often overlooked aspects that drive successful software testing. We'll explore how team collaboration enhances quality by breaking silos and fostering communication between developers, testers, and stakeholders. The concept of shift-left testing will be discussed, highlighting the importance of early involvement in the development cycle to identify issues sooner. We will also emphasise exploratory testing as a creative, dynamic approach to uncovering critical bugs that scripted testing might miss.

​Finally, we will touch on the crucial role of automation in increasing efficiency and maintaining test coverage, while ensuring it complements, rather than replaces, human insight!

Key Takeaways: - Importance of Collaboration - Benefits of Shift-Left Testing - Value of Exploratory Testing - Effective Use of Automation

About Speaker: ​**Prafull Jadhav,** Senior Software Quality Engineer at N26

With extensive experience in defining and adapting best QA practices to suit evolving application architectures, our speaker brings a wealth of knowledge in UI/API automation and test framework design. Proficient in using Selenium and Java, they have hands-on expertise with tools like Selenium, TestNG, Protractor, and Mocha, along with foundational knowledge of Appium, UIA, and CodedUI. ​Their technical arsenal extends to CI/CD processes and modern tools such as Docker, Kafka, Kubernetes, MongoDB, Grafana, and Postman. Additionally, they have experience with Jenkins, GIT, JIRA, TFS, TeamCity, Octopus, TestLink, MTM, SQL, and QC, ensuring a strong capability in managing complex testing environments.

​A skilled mentor and team leader, they guide QA teams while fostering an agile mindset through experience in XP, Scrum, and SAFe methodologies. Beyond leading teams, they actively contribute to automation projects by writing, executing, and debugging test scripts, including performance testing with Gatling and VSTS. Their comprehensive understanding of the software and testing lifecycle (STLC and SDLC) makes them a valuable asset as both a team player and an individual contributor.

Apart From Everything Above, We Got Many More Remarkable Opportunities:

  • ​To meet like-minded people
  • ​Conversations with other testers
  • ​Discussion on impressive testing tools & topics
  • ​Talking about the challenges facing as a testers
  • ​Chat over some quick bites with a cup of coffee/tea.

This is an in-person meetup and completely free to attend including Snacks and Beverages.

About The Test Tribe: ​The Test Tribe is the World’s Largest Software Testing Community turned EdTech Startup. Started in 2018 with a mission to give Testing Craft the glory it deserves while we co-create Smarter, prouder, and confident Testers. ​We take pride in solving upskilling and growth for global Testing professionals through our unique offerings like Expert Courses, Membership, Cohorts, Offline Mixers, online Community spaces, and a lot of global Events. ​ Our offerings enable Software Testers globally to collaborate, learn, and grow together. With around 270+ Software Testing Events like Conferences, Hackathons, Meetups, Webinars, etc., and with other Community initiatives, we have reached a global footprint of over 120K+ Testers from 130+ Countries. We intend to provide life-altering growth to every single Testing professional on the planet through community and technology. ​ Check out our upcoming Events list here ​Join thousands of other Testers in the community - Discord Community

By RSVPing this event, you agree to have read our Terms and Conditions and the Privacy Policy and also agree to be contacted by us and BrowserStack, with whom we are collaborating for this event.

Hidden Pillars of Testing | In person QA/Testers Meetup | Berlin | Network

Please register at: https://www.eventbrite.com/e/the-cloud-workshop-for-the-sql-professional-tickets-894045453017

Use promo code SUMMERBLUES to get $75 off the admission price through September 9th, 2024.

Are you thinking, exploring, migrating, or have migrated from SQL Server to Azure? This workshop will provide you with a technically driven approach to translating your knowledge and skills from SQL Server to Azure SQL. You will experience an immersive look at Azure SQL including hands-on labs with no Azure subscription required. This includes topics such as Azure networking, deployment, configuration, security, performance, availability, management, and monitoring. This workshop is designed to teach you Azure based on your existing SQL Server knowledge all led by the engineering team at Microsoft that works on both SQL Server and Azure SQL. This workshop is not intended to "sway" you to use Azure. It is designed for those wanting to learn about Azure, those who are migrating some or all SQL Server instances to Azure, or those who have migrated to Azure and want to optimize their investment. You don't even need to be a DBA to gain benefits from this workshop. Just bring your existing SQL Server knowledge and come learn Azure SQL!

Prerequisites - Attendees must have a basic knowledge of SQL Server and bring their own laptop for hands-on labs. Instructions will be provided later for what software to install. - No Azure subscription is required

Things to know: A significant part of the workshop will be dedicated to hands-on labs.

nstructor:

Bob Ward is a Principal Architect for the Microsoft Azure Data team, which owns the development for Microsoft SQL Edge to Cloud. Bob has worked for Microsoft for 30+ years on every version of SQL Server shipped from OS/2 1.1 to SQL Server 2022 including Azure SQL. Bob is a well-known speaker on SQL Server and Azure SQL, often presenting talks on new releases, internals, and specialized topics at events such as SQLBits, Microsoft Build, Microsoft Ignite, PASS Summit, DevIntersection, and VS Live. You can also learn Azure SQL from him on the popular series https://aka.ms/azuresql4beginners. You can follow him at @bobwardms or linkedin.com/in/bobwardms. Bob is the author of the books Pro SQL Server on Linux, SQL Server 2019 Revealed, Azure SQL Revealed and SQL Server 2022 Revealed available from Apress Media.

Co-presenter: Taiob Ali, Microsoft MVP - Data Platform Taiob is an accomplished technical leader with a proven record of success. For the past 17 years, he has worked with the Microsoft Data Platform and MongoDB on-premises and in the cloud. His experience includes all three major business sectors: finance, e-commerce, and healthcare.

Taiob works at GMO LLC as a database solutions manager, focusing on cloud migration, automation, and improving and streamlining operational workflow. He regularly speaks at local and international conferences, SQL Saturdays, and Azure conferences. He is a board member of the New England SQL Server User Group, founder of the Database Professionals Virtual Meetup Group, and organizer of Boston SQL Saturday.

Agenda:

8:00 AM - 8:30 AM Registration and Continental Breakfast 8:30 AM - 12 PM Morning Session with a 15-minute coffee break 12 pm - 1 PM Lunch 1 pm - 5 PM Afternoon session with a 15-minute snack and drinks break

IN-PERSON: The Cloud Workshop for the SQL Professional ~ Bob Ward and Taiob Ali