Jean-francois Puget
Distinguished Engineer at NVIDIA
Beaulieu-sur-Mer, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolJean-francois Puget is a Distinguished Engineer at NVIDIA with 25+ years of experience delivering market-leading optimization and AI software, and a machine learning PhD from Paris-Sud. A founding force behind industrial constraint programming and optimization products (ILOG Solver, CPLEX, CP Optimizer, OPL, ODM), he has repeatedly scaled teams of highly skilled developers and scientists and led analytics strategy at IBM. A three-time Kaggle Grandmaster and manager of NVIDIA’s KGMON team, he combines world-class academic output—70+ peer-reviewed papers—with hands-on C++, C and Python engineering. Known for bridging deep mathematical optimization with practical ML deployment across cultures, he’s equally comfortable publishing top AI research and shipping production-grade solvers used by enterprise customers. An unusual blend of competitive Kaggle excellence and long-term product leadership underpins his ability to turn cutting-edge research into robust, widely deployed software.
10 years of coding experience
20 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Ecole normale supérieurePhD, Machine Learning, PhD, Machine Learning at Paris-Sud University (Paris XI)
English, French
Github Skills (89)
gbm10
xgboost10
dataflow10
python10
deep-learning10
gradient-boosting10
distributed-systems10
java10
tensorflow10
dask10
machine-learning10
r9
ml9
neural-network9
hadoop9
Programming languages (6)
Github contributions (5)
jfpuget/Kaggle_PLAsTiCC
Dec 2018 - Dec 2018
Contributions:25 commits, 21 pushes, 1 branch in 3 days
jfpuget/Kaggle_TrackML
Aug 2018 - Jul 2020
Code for the TrackML competition on Kaggle
Contributions:50 commits, 4 PRs, 44 pushes in 1 year 10 months
kaggle
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