Gael Reinaudi is a Director of Engineering and AI practitioner with 12 years of experience building production-grade machine learning systems and quantitative trading infrastructure. Trained as a physicist with a PhD from Ecole Normale Supérieure, he blends experimental rigor from atomic and quantum physics with hands-on software and systems leadership across finance and AI startups. He has led ML platform development at J.P. Morgan, built algo-trading systems and data science teams, co-founded a tech startup, and now directs engineering for AI-focused companies in New York. Known for finding conceptual "tricks" that reframe problems, he favors pragmatic, auditable solutions where trust in automated processes matters. Equally comfortable with low-level experiment hardware and high-level model orchestration, he brings uncommon breadth that speeds the path from research to reliable production.
12 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD Quantum Physics, Doctor of Philosophy - PhD Quantum Physics at Ecole normale supérieure
Classe préparatoire aux grandes écoles, Classe préparatoire aux grandes écoles at Lycée Descartes (Tours)
Contributions:156 commits, 1 PR, 105 pushes in 8 months
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