Charles Guille-escuret
PhD Student at Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolCharles Guille-escuret is a Senior Research Scientist based in Sunnyvale with a decade of experience focused on large-scale pretraining, MLSys and infrastructure, optimization, architecture, scaling laws, and training dynamics. He recently joined MBZUAI’s Institute of Foundation Models after completing a PhD at Mila, and has held research roles at ServiceNow, Apple, and UC Berkeley where he deployed high-recall video analytics in production. His background spans both theory—proving graph fixation results during early research—and hands-on engineering, building energy-forecasting and large pretraining pipelines that scale to millions of examples. Known as a pretraining consultant in Sunnyvale, he blends deep academic training with practical system-building to push foundation-model training efficiency and robustness.
10 years of coding experience
4 years of employment as a software developer
MPSI/MP*, MPSI/MP* at Lycée FénelonLavoisierMaster of Science (MVA), Machine Learning, with Honours, Master of Science (MVA), Machine Learning, with Honours at École Normale Supérieure de Cachan
French, English
Github Skills (12)
outlier-detection5
robustness4
des4
anomaly-detection4
azerothcore3
novelty-detection3
benchmarking3
benchmark3
machine-learning3
conflict-resolution2
cubing2
deep-learning2
Programming languages (3)
Github contributions (5)
charlesGE/charlesge.github.io
Oct 2022 - Jan 2025
Contributions:6 pushes, 1 branch in 2 years 2 months
sashavor/80-629
Jan 2021 - Feb 2021
Additional material for 80-629
Contributions:23 commits, 1 PR, 22 pushes in 23 days
azerothcoreconflict-resolutionzonesadditionalcubing
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