Maxime Chaveroche
R&D AI Engineer at Safran Data Systems Inc
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolMaxime Chaveroche is an R&D AI Engineer with eight years of experience building production-ready ML solutions and researching advanced models, currently at Safran Data Systems in Paris. He holds a PhD in Computer Science for AI and has a track record of turning Transformer research into applied systems—semantic search, Text-to-SPARQL and Text-to-SQL—while optimizing inference pipelines for deployed computer vision inspection tools. His doctoral work produced new algorithms and a C++ library for efficient Dempster-Shafer transforms and combined deep generative models with reinforcement learning for collaborative perception. Comfortable moving between research and engineering, he has led innovation teams, taught ML/statistics, and shipped end-to-end products in both startups and large organizations. An active open-source author and published researcher, he prefers understanding model internals to find pragmatic, efficient implementations. Colleagues describe him as curious, methodical, and adept at bridging academic advances with industrial constraints.
8 years of coding experience
3 years of employment as a software developer
IT engineering IAMD (Engineering applied to big data), IT engineering IAMD (Engineering applied to big data) at TELECOM NancyBaccalauréat Scientifique, Baccalauréat Scientifique at Lycée Fénelon Notre-DameGeneral engineering Specialized in IT, General engineering Specialized in IT at HEI - Hautes Etudes d'IngénieurMaster of Science (M2) Artificial intelligence, Master of Science (M2) Artificial intelligence at Universite de LorraineDoctor of Philosophy - PhD Computer science for Artificial Intelligence, Doctor of Philosophy - PhD Computer science for Artificial Intelligence at Université de Technologie de Compiègne (UTC)DUT Gestion des Entreprises et Administrations, DUT Gestion des Entreprises et Administrations at IUT de Poitiers
English, French, Spanish, German, Japanese
Github Skills (4)
wearable-sensors1
in-progress1
activity-recognition1
prediction1
Github contributions (4)
heudiasyc/efficient-DST
Aug 2023 - Mar 2024
Contributions:1 push in 7 months
mchaveroche/VTSFE
Mar 2019 - Mar 2019
Work in progress about activity recognition/prediction using wearable sensors information
Contributions:4 pushes in 1 day
predictionsensorsin-progressrecognitionactivity-recognition
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