Hi, my name is
Francisco
Efficiency drives continuous personal improvement, much more than only working hard and fast.
I have been a Machine Learning Engineer at ASML for the last 5 years.
As part of Plug and Play, a critical project for modernization of YieldStar Metrology.
From statistical models implemented in .NET 4.8 and MATLAB and running on laptops...
To a cloud-native Machine Learning platform with a three-tier architecture.
Some details
- Onboarded engineers from six teams (and counting) to the developer platform.
- Transferred more than 100TB per month during training in internal use alone.
- Under strict budget: cost-optimized for demand with no expensive GPUs underutilized.
- No vendor lock-in: based on Kubernetes and open technologies.
- Three-tier architecture: deployed on Azure, at customer site and on the YieldStar itself.