Thomas Lapôtre is a software engineer based in Paris with nine years of experience building large-scale infrastructure and applying machine learning at YouTube/Google. He brings deep expertise in computer vision and deep learning, informed by academic stints and internships across TUM, École Polytechnique, BMW Group and AI startups. Comfortable working on systems that serve billions, he combines rigorous mathematical training with hands-on engineering to ship reliable, production-grade solutions. Thomas also has cross-disciplinary interests—abstract mathematics and cellular biology—that shape his approach to ML research and problem framing. He values excellent working conditions and would consider moving for projects that tackle major societal challenges like climate, inequality, or research-driven opportunities.
9 years of coding experience
Mathématiques - Physique, Option Informatique, Mathématiques - Physique, Option Informatique at Lycée Henri IV
Bachelor of Science - BS, Master of Science - MS, Informatique, Bachelor of Science - BS, Master of Science - MS, Informatique at École Polytechnique
Master of Science - MS, Informatique, Master of Science - MS, Informatique at Technische Universität München
Contributions:8 PRs, 17 pushes, 10 branches in 1 month
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