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Eindhoven Data Community meetup 19 - ASML
2024-11-21 · 16:00
We’re excited to return to ASML for our annual meetup! This year, we have two concurrent tracks featuring a total of four talks. We're also thrilled to welcome a special guest from the US coming over to ASML: Joe Reis, author of "The Fundamentals of Data Engineering," who will be doing an AMA. Joe \| Ask Me Anything about Data Engineering or Otherwise Joe Reis is here to answer all of your questions about data engineering, the state of the industry and technology, and anything else on your mind. This is a very rare change to have a free-flowing conversation with Joe Reis. Cristiano & Shashank\| Automating Creating Trusted Data Products: a developer experience-driven approach Creating high-quality data products is a complex task that often burdens data professionals with repetitive activities. Our trusted dataset creation framework aims to alleviate this challenge by providing a comprehensive mechanism that automates essential processes in data product development. This presentation will delve into how it not only simplifies workflows but also improves developer experience by enhancing feedback loops and cognitive load. Juan \| Standardization of Predictive Maintenance Pipelines Juan will show how his team, The Model Factory, is currently setting up a framework that ensures that all our predictive maintenance pipelines follow standards that ensure 1) Short time-to-market, 2) maintainability, and 3) interpretability of outputs and intermediate calculations. Ismael & Ricardo \| Airflow 3.0: A New Perspective on MLOps and GenAi The new version of Airflow is more than just a tool for data orchestration, and is coming up early 2025. Airflow It's evolving to meet the needs derived by the explosion of GenAi applications, and it is even changing its internal architecture to be faster and more flexible. In this talk, we'll discuss how Airflow 3.0 is evolving to support the requirements of modern applications. We'll also provide a practical example of using Airflow with a RAG implementation. It's a look at the future of Airflow, and we hope you'll join us. Program 17:00 – 18:00 🍕 Food Track 1
Track 2
20:00-21:00 🥤 Drinks 20:15-21:00 Tour ASML experience center Joe Reis \| Author\, data engineer\, "recovering data scientist" Joe Reis, a "recovering data scientist" with 20 years in the data industry, is the co-author of the best-selling O'Reilly book, "Fundamentals of Data Engineering." He’s also the instructor for the wildly popular Data Engineering Professional Specialization on Coursera, created with DeepLearning.ai and AWS. Joe’s extensive experience encompasses data engineering, data architecture, machine learning, and more. He regularly keynotes major data conferences globally, advises and invests in innovative data product companies, writes at Practical Data Modeling and his personal blog, and hosts the popular data podcasts "The Monday Morning Data Chat" and "The Joe Reis Show." In his free time, Joe is dedicated to writing new books and articles, and thinking of ways to advance the data industry. Cristiano Rocha \| Lead Data Engineer Cristiano is a lead engineer at ASML with an educational background in Distributed and Parallel Computing. With over 15+ years of experience in on-premise and cloud data-based solutions, Cristiano has a wealth of knowledge in building and maturing high-impact data platforms and self-service analytics programs for large organizations. He has extensive experience in a variety of roles, including data infrastructure engineer, self-service analytics platform engineer, data engineer, big data competence lead, DataOps competence lead, machine learning engineer, and data analyst. Shashank Shekhar \| Senior Data Engineer Shashank is a Senior Data Engineer at ASML with extensive expertise in cross-cloud technologies and architecting and optimizing data pipelines that drive actionable insights. Over 7 years in the industry, Shashank has successfully executed complex data projects, enabling organizations to harness the full potential of their data. Juan Manuel Ortiz Sevillano \| Machine Learning Engineer Juan is originally a Data Scientist who turned into a Machine Learning Engineer driven by the need to make ML models produce actual value. He currently focuses on reducing time-to-market and improving maintainability of Predictive Maintenance pipelines at ASML Ismael Cabral \| Author\, Machine Learning Engineer Ismael is a Machine Learning Engineer and Airflow trainer at Xebia Data in The Netherlands. At the same time, he is currently co-authoring the 2nd version of “Data Pipelines with Apache Airflow”. Ricardo Granados \| Author\, Analytics Engineer Ricardo Granados, co-author of Fundamentals of Analytics Engineering, is an analytics engineer specializing in data engineering and analysis. With a master’s in IT management and a focus on data science, he is proficient in using various programming languages and tools. Ricardo is skilled in exploring efficient alternatives and has contributed to multicultural teams, creating business value with data products using modern data stack solutions. As an analytics engineer, he helps companies enhance data value through data modeling, best practices, task automation, and data quality improvement. Note: For security reasons, we must register all visitors in advance. When registering, we ask for additional information such as first and last name, e-mail address and possibly license plate of your vehicle if you want to use a parking facility. Please use the extra field "Reason for visiting" to register your license plate. Please note: bring a valid ID! |
Eindhoven Data Community meetup 19 - ASML
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Eindhoven Data Community Meetup 14 - ASML
2023-12-06 · 16:00
Empowering ML Use-Cases: Building Portable Solutions with Google Cloud Platform and Migrating Jupyter Notebooks to Python Packages Have you always wanted to take a look behind the scenes at ASML? For this 14th Eindhoven Data Community meetup, ASML opens its doors for an evening full of knowledge sharing and fun! Sheng-Yi shares how he uses test-driven development when migrating from Jupyter notebooks to Python packages. Akshay, Prashant and Roy will talk about ASML's journey of building portable data-driven use-cases that can be deployed close to customers' EUV machines. Sounds good right? And to conclude this beautiful evening, ASML would like to invite you for a tour of the ASML experience center. Of course, delicious food and drinks will be provided! We'll see each other on December 6. Migrate Jupyter notebooks to Python packages & tips for Jupyter Test-driven development is one of the best practices to develop software. The Sheng-Yi adopts TDD approach to migrate Jupyter notebooks to python packages (including unit tests) in one go. In this presentation he will introduce the steps to migrate notebooks structurally. During the migration journey, a list of tips to organize information in Jupyter is learnt and will be shared as well. Building portable ML use-cases with Google Cloud Platform. ASML helps its customers maintain EUV machines using predictive models. These models often utilize sensitive EUV machine data that is owned by its customers and cannot leave customers infrastructure. How can ASML build data-driven predictive solutions that can be deployed to customers’ diverse infrastructure? In this session, we will talk about ASML’s journey of building portable data-driven use-cases that can be deployed close to customers’ EUV machines. Program
Speaker 1: Sheng-yi Hsu Sheng-Yi is currently a machine learning engineer at ASML. Besides day-to-day ML operations, he designs and evaluates MLOps-related activities, including ways of working, tools and platforms. In MLOps, both tools and culture are equally important. That said, going through this journey with MLOps makes him a more pragmatic engineer who greatly values team spirit. He promotes streamlined workflows that enable the capabilities and ownerships of each team member Speaker 2: Akshay Verma Akshay is a Lead Data Engineer for EUV Predictive Maintenance Team at ASML. He is a Python Backend engineer with passion for computing who turned into Data/ML Engineer working on machine learning use cases for EUV predictive maintenance.Speaker Speaker 3: Roy van Santen Roy is a Machine Learning Engineer at Xebia Data. He worked for several years as a software engineer and gradually specialised and increased his focus on machine learning. Throughout his experience in both the software and machine learning spaces, he has thrived on building high-quality, maintainable, and robust systems, something for which he is greatly impassioned. To put this in practice, he focuses on several areas such as CI/CD, layered testing, monitoring and alerting and paying special attention to writing clear and concise documentation. His success in large and complex projects is underpinned by his clear and effective communication throughout the business to both technical and non-technical colleagues. Speaker 4: Prashant Srivastava Prashant is a Machine Learning Engineer at Xebia Data. He worked as a Data Scientist in industries like finance, bioinformatics & medicine, and event management. Throughout his experience as a Data Scientist and Machine Learning Engineer, he focused on transforming business problems into data-driven solutions and building end-to-end data products. How to get there (see image (map)) We will welcome you at reception 7 (red arrow). When you’re visiting by car, please navigate to ASML Parking P1 and follow the signs to the visitor parking garage (blue line). Please follow the blue dotted line towards the entrance. When arriving by bus, bike, or foot, please also take the blue dotted route. It is not possible to take a shortcut without a badge. There will be physical signs to guide you in the right direction Note: For security reasons, we must register all visitors in advance. When registering, we ask for additional information such as first and last name, e-mail address and possibly license plate of your vehicle if you want to use a parking facility. Please note: bring a valid ID! |
Eindhoven Data Community Meetup 14 - ASML
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