Jérémy Rapin
Research Engineer at Meta
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolJérémy Rapin is a research engineer based in Paris with a PhD in applied mathematics and over a decade of experience turning mathematical ideas into production-grade Python systems for deep learning and optimization. At Meta he is an early creator and main maintainer of Nevergrad (derivative-free optimization) and Submitit (Slurm job submission), and he authored a Nevergrad integration for the Hydra configuration framework. Previously as Chief Data Officer at CardioLogs he led development of CNN-based ECG algorithms and a fully tested Python library that supported CE marking and FDA approval. His work bridges low-level optimizer fixes, distributed compute tooling and regulated medical ML, with a strong commitment to open source and socially/eco-positive applications.
10 years of coding experience
Master 2 (M2), Applied Mathematics, Master 2 (M2), Applied Mathematics at École normale supérieure Paris-SaclayEngineer, Applied Mathematics (image processing, statistics), Engineer, Applied Mathematics (image processing, statistics) at Ecole centrale de ParisDoctor of Philosophy (PhD), Mathématiques appliquées, Doctor of Philosophy (PhD), Mathématiques appliquées at Université Paris Sud (Paris XI)Master of Science, Applied Mathematics (image processing, statistics), Master of Science, Applied Mathematics (image processing, statistics) at Ecole normale supérieure de Cachan
French, English, Spanish, langue des signes française
Github Skills (17)
algorithm10
optimizations10
slurm10
python10
optimizers10
testing10
configuration-management10
cluster-computing10
optimisation10
clustering10
optimization10
unit-testing9
devops9
automation9
automations9
Programming languages (6)
Github contributions (5)
facebookincubator/submitit
May 2020 - Sep 2022
Python 3.8+ toolbox for submitting jobs to Slurm
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:73 reviews, 42 commits, 92 PRs in 2 years 4 months
Contributions summary:Jérémy primarily contributed to the automation and improvement of job submission processes for a Slurm cluster. They focused on enhancing the `submitit` toolbox, a Python library for submitting jobs. Their commits include adding environment variables for executor detection, modifying the code for cluster-specific overrides, and improving the internal structure of the `AutoExecutor`. Additionally, the user addressed linter issues, updated documentation, and made code formatting changes to enhance readability and maintainability.
slurmpythonorchestrationclusterspython-3-6
facebookresearch/nevergrad
Dec 2018 - May 2022
A Python toolbox for performing gradient-free optimization
Role in this project:Back-end Developer
Back-end DeveloperContributions:16 releases, 886 reviews, 717 commits in 3 years 5 months
Contributions summary:Jérémy primarily focused on fixing errors within the `nevergrad/optimization` module. These commits involved changes to files related to optimization algorithms, including code modifications and corrections, indicating a focus on improving the core functionality and stability of the library. The changes include modifications in `recastlib.py`, `corefuncs.py`, and `test_optimizerlib.py`, which suggest work on optimization models, their performance, and testing infrastructure.
pythontoolboxgradient-free-optimizationoptimizationpython-toolbox
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