Cyril Vallez is a machine learning engineer and core maintainer at Hugging Face with four years of industry and research experience, currently based in Lausanne. He blends a rigorous physics background and a Master’s in Computational Science and Engineering from EPFL with a master’s thesis in Computer Science at MIT, giving him a rare mix of theoretical depth and practical ML engineering. His career spans research scientist roles and applied ML positions where he contributes to open-source tooling and production ML workflows. Complementing his technical skillset, his experience as a teaching assistant and auxiliary instructor sharpens his ability to communicate complex ideas and lead collaborative projects.
4 years of coding experience
2 years of employment as a software developer
Scientific Baccalaureate, Scientific Baccalaureate at Lycée Vaugelas
Master thesis, Computer Science, Master thesis, Computer Science at Massachusetts Institute of Technology
Bachelor 3rd year, Physics, Bachelor 3rd year, Physics at Lund University
Master's degree, Computational Science and Engineering, Master's degree, Computational Science and Engineering at EPFL (École polytechnique fédérale de Lausanne)
Contributions:492 commits, 7 pushes, 1 comment in 4 months
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