talk-data.com

As community partner we are inviting you to sign up for BeSecure Community Stage - a joint initiative of many technical communities in 3city!

*Some of the talks are in Polish others in English.

📍 Where: Amber Expo, Gdańsk 📅 When: 8 grudnia 2025 📝 Registration: https://codeme.pl/besecure/

Events cooperating: Hackerspace Trójmiasto, TJUG, PyGda, PyData, Gdańsk Embedded Meetup, TRUG, Golang Trójmiasto, MLGdańsk, WordUp Gdynia, Nerds Coding Gang.

👉Admission to the Community Stage is free; simply complete the registration form. This is made available by exploring different perspectives and presenting lectures from the local community on topics ranging from hardware and systems, through backend, to Python, data science, and machine learning.

Community Stage Agenda

09:30–09:45 – Official opening 🇵🇱 09:50–10:20 – Maciej Wierzbowski 🇵🇱 Prywatność pod lupą: Hacking WiFi i Bluetooth w praktyce 10:25–10:45 – Wojciech Kargul 🇬🇧 Cloudflare Outage: The Day Rust Broke the Internet 10:45–11:00 – Coffee break ☕ 11:00–11:50 – Adam Bien 🇬🇧 Shared responsibility or beyond the firewall? Cloud security for Enterprise Java Developers 11:50–12:20 – Dorota Kozłowska 🇬🇧 Social engineering for Covert Access Engagements 12:20-12:35 – Coffee break ☕ 12:35–13:15 – Przemysław Michalak 🇵🇱 Podstawy hackowania sprzętu 13:20–13:55 – Jakub Rachoń 🇵🇱 Java: czy WORA wciąż aktualna? 14:00–15:00 – Lunch 🍽️ 15:00–15:30 – Mateusz Bełczowski 🇵🇱 Przegląd zagrożeń w ekosystemie Pythona 15:35–16:25 – Łukasz Langa 🇬🇧 Permacomputing and Python 16:30–16:45 – Coffee break ☕ 16:45–17:00 – Lightning Talks – Yet open to anyone 🇵🇱/🇬🇧 17:00–18:00 – Lightning Talks (continuation) 🇵🇱/🇬🇧 *** Other stages at BeSecure (getting extended ticket required):

• Main Stage
• Business Stage
• Workshop Stage
• Public & Skills Stage

Use 25% discount code PyData_BeSecure-25% As community partner we still have a few free admissions codes for other stages for you - PM us!

🎟️ Tickets and more details: https://codeme.pl/besecure/

We are welcoming you to join 33rd edition of PyData Trójmiasto meetup!

This time the event will be held at Hapag-Lloyd Knowledge Center venue - we're very thankful for such an opportunity and recommend you to join us as well!

• When: 26th of March, at 18:00 (6PM)
• Where: Hapag-Lloyd Knowledge Center, Al. Grunwaldzka 413
• Registration info - important!

Number of seats is limited to 50. Please provide your full first and last name and email address while registering for the event, here on meetup. In case of any urgent changes please leave us a note via [email protected] . Don't forget to bring your ID for the security check.

Agenda: 18:00 - 18:05 - Meeting boarding 18:05 - 18:10 - A few words about PyData 18:10 - 18:50 - Building RAG Systems for Enterprises by Mateusz Hordyński 18:50 - 19:35 - Unlocking Efficiency: AI-Driven Email Classification for Salesforce Customer Support by Michał Papaj & Marek Blok 19:35 - Finger food! & Networking

About "Building RAG Systems for Enterprises" Operationalizing Retrieval-Augmented Generation (RAG) systems at scale presents unique challenges, including the need for seamless integration, customization, and adaptability to diverse organizational requirements. Let's discuss lessons we've learned from deploying these solutions, explore essential tools every RAG developer should have at their disposal, and identify common pitfalls to avoid. I'll also explain why we've decided to open-source ragbits—our collection of foundational building blocks for GenAI applications.

Mateusz Hordyński - bio I'm a software engineer who specializes in creating big data architectures for both cloud and on-premises setups. Currently, I'm a Technical Leader at deepsense.ai, where I design generative AI applications and build data pipelines to support them. I'm also the lead maintainer of the open-source project db-ally. Outside of work, I try to live the digital nomad lifestyle, which has taught me how to work remotely from some pretty weird office setups.

About "Unlocking Efficiency: AI-Driven Email Classification for Salesforce Customer Support" As the shipping and logistics industry continues to adopt artificial intelligence to enhance operational efficiency, companies like Hapag-Lloyd are exploring innovative applications of AI to automate tasks, optimize logistics, and improve customer support. This presentation begins with a brief introduction to the AI initiatives that Hapag-Lloyd is engaged in, followed by a case study on one of the key areas of focus for our company which is the efficient classification of the high volume of emails we receive daily. This classification task is crucial for effective customer support in Salesforce (SF) but our current setup struggles with accurate classification of emails, leading to performance problems. Our analysis of internal data reveals significant imbalances in classes distribution, performance differences across areas and languages, and the need for improved data preprocessing. The limitations of Salesforce's built-in classification models, including the lack of preprocessing, limited training case selection, and blackbox models, led us to explore the development of a custom model. We will present our adventure towards development of an improved custom AI-driven email classification model, including the creation of a ground truth dataset and leveraging BERT. Our results show promising improvements in classification accuracy, and we will discuss our plans for integrating our custom model with Salesforce.

Michał Papaj - bio Michał Papaj is a Data Scientist at Hapag-Lloyd. His current focus is on vessel schedule maintenance, although he has been involved in a range of AI projects over the past two years. Prior to joining Hapag-Lloyd, Michal worked at Intel, where he contributed to the development of speech-to-text solutions. He holds a Ph.D. in the area of Digital Signal Processing.

Marek Blok - bio Marek Blok is a Data Scientist at Hapag-Lloyd, who for almost two years has been developing AI solutions for berth load prediction and customer email classification. Prior to joining Hapag-Lloyd, Marek worked at the Gdańsk University of Technology, where he completed a PhD and DSc in Digital Signal Processing, with a focus on standard and ML-aided digital signal processing and analysis of telecommunication signals.

See you at PyData!

We are welcoming you to join 31st edition of PyData Trójmiasto meetup!

• When: 18th of June, at 18:00

• Where: Room 002, Building B, Gdańsk Science-Technology Park.

• Registration: event is free to join, just let us know you're coming by RSVP on meetup to estimate pizzas.

Agenda: 18:00 - 18:05 - Meeting boarding 18:05 - 18:10 - A few words about PyData 18:10 - 18:50 - Divide and Conquer in the LLM world - LLM agents by Sebastian Chwilczyński 18:50 - 19:35 - Bridging LLM and Databases: Lessons learned in production by Mateusz Hordyński 19:35 - Pizza & Networking

About Divide and Conquer in the LLM world Andrew Ng said that AI agent workflows will drive massive AI progress this year, and all AI practitioners should pay attention to this trend. I'm the last one to undermine his words, so let's dive deep into agentic systems. In this presentation, we are going to explore the four most fundamental design patterns for Agent Systems: Reflection, Tools Use, Planning, and Collaboration. Along the way, we'll learn some best practices and examine recent use cases to see these principles in action.

About Sebastian Sebastian Chwilczynski is a Machine Learning Engineer at deepsense.ai. He graduated in Artificial Intelligence from Poznań University of Technology. Recently, in his professional work, he's been mostly focused on making LLM systems more robust. Good research before the implementation is even more important than a morning coffee.

About Bridging LLM and Databases: Lessons learned in production Prepare to dive into the exciting world of Large Language Models (LLMs) and structured data sources. In this session, we'll shed light on how to link LLMs to relational databases. We'll explore case studies and share different tried-and-tested approaches to achieve this. You'll understand the benefits, the obstacles, and what's on the horizon for integrating LLMs and structured data. Whether you're a seasoned professional in data science or just starting out, this talk has something to help you improve your skills in working with LLMs and external structured data sources.

About Mateusz I'm a software engineer who specializes in creating big data architectures for both cloud and on-premises setups. Currently, I'm a Technical Leader at deepsense.ai, where I design generative AI applications and build data pipelines to support them. I'm also the lead maintainer of the open-source project db-ally. Outside of work, I try to live the digital nomad lifestyle, which has taught me how to work remotely from some pretty weird office setups.

We are deeply thankful to Gdańsk Science-Technology Park for hosting us. Vemco Sp. z o.o. for sponsoring tasty pizzas! And to JetBrains for the possibility to give away a few licenses for their tools - in exchange of interesting questions!;)

See you at PyData!