Sylvain
Summary
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SeniorTristan Sylvain is an applied scientist and machine learning researcher with nine years of experience bridging deep research and production at organizations like AWS, Borealis AI, and Microsoft. He holds a PhD from Université de Montréal (Mila) under Yoshua Bengio and Devon Hjelm, and his work has advanced generalization in complex visual tasks, time-series forecasting, and retrieval-augmented systems for enterprise-scale LLM deployments. At Borealis he led evaluation and RAG pipeline efforts for a large bank, improved forecasting accuracy in production by 10%, and published and patented forecasting methods while mentoring junior researchers. Comfortable moving models from research to production, Tristan has also advised startups, built interactive hardware earlier in his career, and contributed practical how-to guides on niche tooling like Milkshape3D and Futurepinball. Now based in Austin, he combines strong academic rigor with product-focused engineering to solve real-world data and ML problems.
9 years of coding experienceGithub contributions (1)
20degree/solarusguide
Aug 2016 - Dec 2016
Contributions:17 commits, 2 PRs, 16 pushes in 4 months
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