Romain Sauvestre
AI Scientist at Mistral AI
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolRomain Sauvestre is an AI scientist with a decade of experience building and fine-tuning deep learning systems across healthcare and large‑scale language models. He has shipped FDA‑integrated radiology segmentation models and led a team delivering document understanding and 2D NLP solutions, blending hands‑on research with people and product leadership. At Meta he contributed to CodeLlama and Llama 3 fine‑tuning for code generation, and he now works on fine‑tuning at Mistral AI. Trained at École Polytechnique and Stanford (MS in MS&E, AI), he combines rigorous applied math foundations with practical ML engineering to move models from prototype to production. Notable for spanning medical imaging, document extraction, and LLM fine‑tuning, he often bridges research, infrastructure, and regulatory integration in real‑world systems.
10 years of coding experience
7 years of employment as a software developer
Diplôme d'ingénieur Polytechnicien Applied Mathematics, Diplôme d'ingénieur Polytechnicien Applied Mathematics at École PolytechniquePreparatory Program MP* Mathematics, Preparatory Program MP* Mathematics at Lycée Louis-le-GrandMaster of Science in MS&E Artificial Intelligence, Master of Science in MS&E Artificial Intelligence at Stanford University
French, English, Spanish
Github Skills (27)
classifier9
wordnet9
glove8
classification8
document-classification8
fasttext8
bengali8
lda8
similarity8
latent-dirichlet-allocation8
tf-idf8
word2vec8
testing7
topic-modeling7
benchmark7
Programming languages (3)
Github contributions (5)
Romainsauvestre/stl10
Nov 2017 - Nov 2017
Contributions:24 pushes, 1 branch in 21 days
gevaertlab/miccai-cpm-ensemble
Oct 2017 - Apr 2018
Contributions:153 commits in 6 months
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