Etiennefg Pot
Senior Research Engineer at Google
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolEtiennefg Pot is a Senior Research Engineer based in Paris with 11 years of experience delivering research infrastructure and ML tooling at Google, where he spent eight years reducing friction for researchers and now works on evaluation for large open models. He specializes in TensorFlow Datasets, JAX/Flax integrations, and model architecture refinements—contributions visible across high-profile repos like google-research, tensorflow/datasets, and flax. Comfortable refactoring core libraries and removing deprecations, he blends deep-learning research sensibilities with pragmatic backend engineering to keep large codebases usable and forward-compatible. His background spans practical computer-vision systems and production ML tooling, and he often focuses on developer ergonomics (e.g., reusable TFDS iterables and pathlib compatibility) that quietly accelerate research teams.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science electronics and signal processing, Bachelor's degree Computer Science electronics and signal processing at CPE LyonMaster's degree Computer Science and machine learning, Master's degree Computer Science and machine learning at EPFL
French, English, German, Japanese
Stackoverflow
5,111reputation
4.6mreached
68answers
14questions
annotations
top-5%
python
top-5%
Github Skills (32)
visualization10
data-pipelines10
python10
data-manipulation10
attention-mechanism10
machine-learning10
flax10
numpy10
deep-learning10
tensorflow10
ai10
jax10
data-pipeline10
visualizations10
api-design9
Programming languages (9)
Github contributions (5)
google-research/jax3d
Dec 2021 - Jan 2023
Role in this project:
ML Engineer
ML EngineerContributions:69 commits, 4 PRs, 6 pushes in 1 year 1 month
Contributions summary:Etiennefg primarily contributed to the `jax3d` repository by adding and modifying utilities related to array manipulation and visualization, and by updating existing functionality. These changes include the addition of the `etils.enp` module and improvements in testing utilities, as well as the development of new features for 3D visualization tools, specifically around camera specifications and ray tracing. The user also made several updates to the setup of the project.
tensorflow/datasets
Oct 2018 - Nov 2022
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:Back-end Developer
Back-end DeveloperContributions:14 releases, 272 reviews, 1034 commits in 4 years 1 month
Contributions summary:Etiennefg primarily focused on enhancing the core functionality of the TensorFlow Datasets project. Their work involved refactoring existing code, moving specific functions to the `py_utils` module to increase modularity. They made substantial improvements to features, adding support for dynamic shapes, byte-based encodings, and handling of various data types. Further contribution include fixing existing issues with dataset file format and enhancing the support for partial decoding.
datanumpydeep-learningdatasetmachine-learning
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