Sylvain Bonnot is a Lead Data Scientist and former mathematics researcher turned applied AI systems leader, combining a PhD and École Polytechnique training with 15 years of cross-sector experience in academic research, industrial AI, and production GenAI architecture. He specializes in LLM/RAG systems, AI orchestration, and domain-specific tooling for industrial and financial workflows, having built retrieval and reasoning components for production RAG deployments and led quantitative AI efforts at Analog Devices and Osmoze. Based in Paris, he bridges rigorous mathematical thinking with pragmatic engineering—shipping scalable AI solutions that translate research insights into operational systems. An uncommon strength is his track record of moving from theoretical mathematics to hands-on deployment, enabling him to design architectures that anticipate edge-case failures and real-world data drift.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at École Polytechnique
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Université de Provence
Visiting Non-degree student, Mathematics, Visiting Non-degree student, Mathematics at Cornell University
DEA, Mathematics, DEA, Mathematics at Paris-Sud University (Paris XI)
Contributions:3 pushes, 1 branch in 4 years 4 months
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