Sebastian Foubert is a Senior ML Platform Engineer with a decade of experience building large-scale, privacy-conscious ML and data platforms at Apple, Microsoft, Nvidia, and Intel. He architects and productionalizes multi-geo containerized microservice systems that ingest petabytes of customer feedback, design LLM clients and RAG agents, and reduce hallucinations and latency for near real-time Copilot use cases. His background in computer architecture and HPC research informs a systems-first approach to performance tuning, kernel-level optimization, and high-bandwidth, low-latency designs. At Microsoft he led efforts that combined Azure OpenAI models with differential privacy techniques and bespoke throttling/token-allocation strategies to meet strict compliance and operational constraints. Based in Seattle, he pairs deep systems knowledge with practical ML engineering to move models from research into secure, scalable production.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science in Computer Engineering & Minor in Computer Science, Bachelor of Science in Computer Engineering & Minor in Computer Science at The George Washington University
Baccalaureat, Science Branch, Baccalaureat, Science Branch at Colegio Francia - Lycée Français de Caracas
Contributions:2 PRs, 16 pushes, 2 branches in 2 years
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