Benoit Rostykus
Senior Staff Machine Learning Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBenoit Rostykus is a Senior Staff Machine Learning Engineer in San Francisco with 12 years building large-scale ML systems that bridge research and production. He has driven multi-million dollar impact by designing high-throughput prediction engines and resource-aware ML schedulers at Criteo, AdRoll, Netflix, and Databricks, cutting compute costs and improving efficiency at scale. Benoit leads teams focused on serverless compute and ML+systems integration, shipping infrastructure that enables millions of predictions per second and real-time decisioning. His background blends rigorous applied math from École Normale Supérieure and CentraleSupélec with hands-on systems engineering, from genomics and ad tech to media personalization. Notably he co-founded a startup building a real-time guitar synthesizer, illustrating a long-standing knack for turning research prototypes into products. He’s comfortable both optimizing low-level compute costs and delivering productionized personalized models across complex distributed platforms.
12 years of coding experience
16 years of employment as a software developer
Master's degree, Option Mathématiques Appliquées, Master's degree, Option Mathématiques Appliquées at CentraleSupélecMaster MVA, Mathematics, Vision, Machine Learning, Master MVA, Mathematics, Vision, Machine Learning at École Normale Supérieure de CachanMPSI/MP*, MPSI/MP* at Lycée Louis-Le-Grand
Github Skills (64)
python10
cvxpy10
machine-learning10
convex-optimization10
numpy10
mathematical-optimization10
deep-learning10
gpu10
autograd10
neural-network10
numerical-optimization10
tensor10
gpu-acceleration10
optimization10
r9
Programming languages (5)
Github contributions (5)
Netflix/vectorflow
Aug 2017 - Apr 2022
Contributions:22 commits, 17 PRs, 16 pushes in 4 years 9 months
rostyboost/cvxpy
Mar 2019 - Jul 2021
A Python-embedded modeling language for convex optimization problems.
Contributions:2 PRs, 17 pushes, 12 branches in 2 years 4 months
pythonconvex-optimizationproblemsoptimizationconvex
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