Denis Goupil

Principal Machine Learning Engineer at Roblox

San Francisco, California, United States
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Summary

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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.
code5 years of coding experience
job8 years of employment as a software developer
bookLicence Mathématiques, Licence Mathématiques at Université Paris Cité
bookMaster's degree Mathématiques appliquées, Master's degree Mathématiques appliquées at Pierre and Marie Curie University
languagesFrench, English
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Github Skills (40)

pytorch10
llama10
inference10
tpu10
amd10
llm10
mlops10
llmops10
xpu10
cuda10
transformer10
gpt10
jupyter9
notebook9
minikube8

Programming languages (5)

TypeScriptShellJupyter NotebookYAMLPython

Github contributions (5)

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dgoupil/vllm

May 2024 - Aug 2024

A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:17 pushes, 2 branches in 2 months
dgoupil/argoflow

May 2021 - Jun 2021

Deploying Kubeflow with Argo CD
Contributions:5 pushes, 3 branches in 1 month
deployingkubeflowkubernetesargo-cdargo
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