Antoine Rolet
Full Stack Data Scientisty
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAntoine Rolet is a Full Stack Data Scientist and PhD in AI with a decade of hands-on experience building production ML systems, mobile apps, and server infrastructure. He co-founded and is the sole Android developer of Yomiwa, a freemium offline OCR and Japanese dictionary app with over 500,000 installs and 2,000 daily users, and also manages its AWS-backed forum and dictionary pipelines. His R&D roles at ZOZO and Spacely focused on recommender systems, generative AI prototypes, and computer vision pipelines that moved research prototypes into production. As a contributor to the Python Optimal Transport library, he improved core numerical solvers, added EMD tests and closed-form solutions, and cleaned up cost computations—showing depth in both algorithm design and reliable engineering. Based in Paris and educated at École Polytechnique and Kyoto University, he blends academic rigor with product-minded development and a knack for shipping complete end-to-end systems.
10 years of coding experience
2 years of employment as a software developer
Engineer's degree, Computer Science, Engineer's degree, Computer Science at École PolytechniqueDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Kyoto University
Github Skills (7)
algorithm10
algorithms10
machine-learning10
python10
cython9
cprogramming-language9
c-language9
Programming languages (4)
Github contributions (5)
PythonOT/POT
Jul 2017 - Sep 2017
POT : Python Optimal Transport
Role in this project:
Back-end Developer & Algorithm Engineer
Back-end Developer & Algorithm EngineerContributions:33 commits, 1 PR, 6 comments in 2 months
Contributions summary:Antoine primarily focused on improving the core functionality of the optimal transport library. They removed legacy code and added error messages, debug logs, and an optional maximum iteration parameter, refining the numerical optimization algorithms. Further contributions included adding tests for EMD (Earth Mover's Distance) calculations, incorporating closed-form solutions, and computing dual variables, demonstrating a strong understanding of the underlying mathematical principles and practical implementation of optimal transport methods. They were also involved in cleaning up cost computations.
pythonot-mapping-estimationnumbanumerical-optimizationpattern-recognition
arolet/arolet.github.io
Feb 2016 - Oct 2023
Contributions:4 PRs, 24 pushes, 1 branch in 7 years 10 months
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