Sylvain Chateau is an MLOps engineer and former data scientist with 11 years of experience building and productionizing machine learning and computer vision systems across industry and research. He has led ML pipeline industrialization, monitoring and reliability work at Groupe TF1 and helped scale an AutoML AIAAS platform at Société Générale that maintains hundreds of thousands of models in production. Sylvain combines deep academic rigor—a PhD in computational fluid dynamics—with hands-on engineering: embedded, privacy-aware object tracking on low-resource devices, OCR and document understanding products, and production CI/CD and deployment automation. He’s comfortable across the stack from model design and evaluation (HOTA/CLEAR) to infrastructure (Ansible, Prefect, Dask) and has a track record of improving performance and code quality while keeping strong attention to privacy and operational metrics.
Contributions:4 releases, 20 commits, 6 PRs in 1 day
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