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**Register HERE**

Join us for our last Meetup of the year as we partner with the ML Ops Community to bring you 3 interesting presentations, lightning talks and plenty of networking opportunities!

📅 Date: Nov 26, 2025
📍 Location: Uber HQ, Tripolis Park, Amsterdam

Agenda:

  • 17:30 - 18:15: Walk-in 🚶‍♂️
  • ​​​18:15 - 18:30: Understanding LLM Quantization and Running Models on Your Laptop - Sarthak Anand
  • ​​​18:45 - 19:15: Trusting AI to Modernize Software at Scale - Tim te Beek
  • ​​​19:15 - 19:25: Quiz w/ prizes + small break.
  • ​​​19:25 - 19:55: Talk #3
  • ​​​19:55 - 20:05: Lightning talks ⚡️
  • ​​​20:05 - 21:00: Networking + drinks and bites 🍹🍴

## ​​​​Talks:

​​​Understanding LLM Quantization and Running Models on Your Laptop - Sarthak Anand
Ever wondered how to run powerful AI models on your own computer? How do massive LLMs fit onto regular laptops? What’s the secret behind running AI without cloud services? This talk addresses these questions by exploring how quantization makes powerful language models run on everyday hardware. Learn the idea behind GGUF format, understand the trade-offs between model size and performance, and get practical guidance for deploying AI locally.

​​​​Trusting AI to Modernize Software at Scale - Tim te Beek
Tim explores how machine learning and generative AI can make large-scale code migrations faster, safer, and more efficient. Drawing on lessons from building Moderne’s AI-driven transformation tools (built on OpenRewrite), he shares practical strategies for designing scalable workflows—covering code reuse, input validation, and result verification. The talk also demonstrates how orchestration frameworks like MCP and LangChain enable reliable, agent-driven automation across massive codebases.

Uber Talk - TBA

​​​​Stick around for pizza, drinks, and great conversations with fellow AI and ML enthusiasts!

There is limited seating so please only attend if you have RSVP'ed.

See you all there!

Events in Amsterdam
AI/ML
Machine Learning
Data Analytics
Software Development

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