Pierre Cournut
CTO at Newzik
Marseille, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolPierre Cournut is a CTO and seasoned ML/software engineer with a decade of experience building production-grade models and cross-platform products for audio, music, and mobile applications. Trained at École Polytechnique and KTH (Master's in Machine Learning) and with an IBM thesis project on large-scale record linkage, he blends rigorous academic research—published work on RL for combinatorial optimization—with hands-on deployment (CoreML, PyTorch, Spark). He has owned full ML lifecycles from data pipelines to monitoring at companies like MWM and Newzik, shipping features used by music readers on iPad and web. Comfortable bridging research and product, he also brings operational leadership from an early military command role and a knack for automating messy, unstructured data workflows.
10 years of coding experience
7 years of employment as a software developer
Engineer's degree Mathematics and Statistics Computer Science Economics and Data Science, Engineer's degree Mathematics and Statistics Computer Science Economics and Data Science at École PolytechniqueMaster's degree Machine Learning, Master's degree Machine Learning at KTH Royal Institute of TechnologyClasses préparatoires MPSI-MP* Mathematics and Physics, Classes préparatoires MPSI-MP* Mathematics and Physics at Lycée du Parc
French, English, Swedish, Spanish
Stackoverflow
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Github contributions (5)
pcournut/deep-learning-for-combinatorial-optimization
Apr 2017 - Jul 2017
Contributions:17 commits, 2 PRs, 16 pushes in 2 months
MWM-io/SpecTNT-pytorch
Sep 2022 - Oct 2022
Contributions:11 commits, 2 issues in 16 days
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