SVP, Shipping Department at github.com/michaelfeil/infinity
San Francisco, California, United States
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Summary
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Rockstar
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Top School
Michael Feil is an engineering leader focused on high-performance ML infrastructure and production-grade serving systems, currently SVP of Shipping at Baseten where he builds distributed LLM inference stacks and embeddings runtimes. With an M.Sc. in Robotics from TU Munich and six years of experience across research and industry, he bridges deep learning research (1M+ context-length causal LM training) with engineering pragmatism in Rust/TypeScript/Python. He maintains Infinity, an open-source low-latency serving engine used in production by companies like Runpod, SAP, and Hugging Face, and has optimized kernels for Hopper/Blackwell GPUs. Michael combines hands-on optimization (flash-attn and weights-caching libraries) with product-oriented shipping, and prefers DM contact via Twitter or email rather than job-seeking channels.
6 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Mechatronics and Information Technology, Bachelor's degree, Mechatronics and Information Technology at Karlsruhe Institute of Technology (KIT)
Master of Science - MS, Robotics, Cognition, Intelligence, 1.5 (with distinction), Master of Science - MS, Robotics, Cognition, Intelligence, 1.5 (with distinction) at Technical University of Munich
Winning 2020 solution for the commonroad.io contest
Contributions:47 commits, 31 pushes, 1 comment in 3 months
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