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

• 17:00 – 18:00 🍕 Food
• 18:00 – 18:10 🎤 Welcome
• 18:10 – 19:00 🎤 Sheng-Yi: Migrate Jupyter notebooks to Python packages & tips for Jupyter
• 19:00 – 19:15 ⏸️ Break
• 19:15 – 20:00 🎤 Akshay, Roy & Prashant: Building portable ML use-cases with Google Cloud Platform
• 20:00-21:00 🥤 Drinks
• 20:15-21:00 Tour ASML experience center

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!