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Michael Feil Location
San Francisco, CA, US
Michael Feil Work
Performance Engineer @ (December 2024 - Present)
Open Source Maintainer @ github.com/michaelfeil/infinity (November 2023 - Present)
Member of Technical Staff @ (December 2023 - December 2024)
Machine Learning Engineer @ (November 2022 - November 2023)
Guest Researcher @ (February 2022 - October 2022)
Michael Feil Education
Technical University of Munich
Master of Science - MS (Robotics, Cognition, Intelligence)
DTU - Technical University of Denmark
Exchange student in Computer Science
Karlsruhe Institute of Technology (KIT)
Bachelor's degree (Mechatronics and Information Technology)
Michael Feil Skills
Autonomous Vehicles
Cloud Computing
Deep Learning
DevOps
Docker
High Performance Computing (HPC)
Kubernetes
Large Language Models (LLM)
MLOps
Machine Learning
Microsoft Azure
PyTorch
Python (Programming Language)
Reinforcement Learning
Robotics
Rust (Programming Language)
Michael Feil Summary
Michael Feil, based in San Francisco, CA, US, is currently a Performance Engineer at Baseten. Michael Feil brings experience from previous roles at github.com/michaelfeil/infinity, Gradient, Rohde & Schwarz and Max Planck Institute for Intelligent Systems. Michael Feil holds a Master of Science - MS in Robotics, Cognition, Intelligence @ Technical University of Munich. With a robust skill set that includes Autonomous Vehicles, Cloud Computing, Deep Learning, DevOps, Docker and more. Michael Feil has 3 emails and 1 mobile phone numbers on RocketReach.
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