Antoine Bonnet is a Core Team Engineer based in Paris with six years of experience building production agentic systems and applied ML tools. He combines academic rigor—an MS from EPFL and joint honours in Math & CS from McGill—with hands-on research stints at Meta and EPFL where he worked on medical LLM training data and Lipschitz regularization. His work spans from prototyping clinical evaluation platforms (MOOVE) to deploying agentic architectures in production, reflecting a blend of research depth and product-focused engineering. Comfortable moving between statistics, NLP and systems, he has a track record of turning cutting-edge research into practical, auditable solutions for real-world domains like healthcare.
6 years of coding experience
2 years of employment as a software developer
Pure and applied science, Physics, Pure and applied science, Physics at CEGEP Champlain St. Lawrence
High School Diploma, High School Diploma at Séminaire Saint-François
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
BSc Joint Honours Mathematics and Computer Science, BSc Joint Honours Mathematics and Computer Science at McGill University
Meditron is a suite of open-source medical Large Language Models (LLMs).
Contributions:11 PRs, 31 pushes, 2 branches in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.