Denis Goupil is a Principal Machine Learning Engineer based in San Francisco with five years focused on scaling ML platforms and a longer track record building AI-powered data capture systems. Currently leading the Roblox ML Platform, he blends hands-on model training and serving with platform engineering to accelerate AI-driven product development. His background spans enterprise Deep Learning at Teradata—where he built production-grade, Kubernetes-based microservice platforms and automated AutoML pipelines—and earlier work developing deep learning OCR and synthetic data tooling for capture products at Dell EMC/OpenText. Denis pairs a strong applied mathematics foundation with practical engineering: he’s as comfortable tuning TensorFlow/PyTorch models as designing reliable, observable ML infrastructure for large-scale production. An IC leader who emphasizes organizational efficiency, he brings a pragmatic focus on shipping scalable ML solutions that bridge research and production.
5 years of coding experience
8 years of employment as a software developer
Licence Mathématiques, Licence Mathématiques at Université Paris Cité
Master's degree Mathématiques appliquées, Master's degree Mathématiques appliquées at Pierre and Marie Curie University
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