Sergio Arnaud is a Senior Research Engineer at Meta with eight years of experience building self-supervised visual representations, 3D vision-language grounding, and physical world models that bridge perception and planning. He moved from applied data science and ML systems leadership in industry to research roles at MIT and Meta, combining production-grade engineering (ETL, AWS, Sagemaker) with rigorous research in human-level RL and world modeling. Based in San Francisco, he has shipped real-time pipelines and anomaly/fraud detection systems as well as contributed to Meta FAIR projects like V-JEPA-2 and Locate3D, reflecting a rare fluency across large-scale infrastructure and cutting-edge vision research. His background in applied mathematics and an exchange at Stockholm University underpin a quantitative approach to complex vision-language and robotics problems. Notably, he blends hands-on deployment experience with foundational research, making prototypes that are both scientifically interesting and production-ready.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Applied Science - BASc Applied Mathematics, Bachelor of Applied Science - BASc Applied Mathematics at Instituto Tecnol贸gico Aut贸nomo de M茅xico
Exchange student at the faculty of science Applied Mathematics, Exchange student at the faculty of science Applied Mathematics at Stockholm University
Implementation of a transformer following the Attention Is All You Need paper
Contributions:37 commits, 2 PRs, 10 pushes in 10 months
pytorchnlptransformersbertfollowing
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