Antoine Ferrieux
Développeur Web at IMAIL FRANCE
Grenoble, Auvergne-Rhône-Alpes, France
Summary
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Rockstar🎓
Top SchoolAntoine Ferrieux is a web developer based in Grenoble with 10 years of experience building practical web tools, primarily using ASP.NET, HTML/CSS and JavaScript to support employment programs for large companies. He has a background in systems and networking (DUT) and applied IT (Licence Pro METINET), and has delivered solutions from HR management software to a Python-based CI system with web interfaces. Antoine also contributes to open-source ML tooling—improving Composer’s ONNX export, visualization callbacks, testing and typing—demonstrating attention to production-ready model export and code quality beyond his day-to-day web work. Known for pragmatic engineering that bridges frontend usability and backend robustness, he brings steady, maintainable craftsmanship to long-running projects.
10 years of coding experience
Licence Professionnelle, METINET, Licence Professionnelle, METINET at Université Claude Bernard Lyon 1DUT, Informatique, DUT, Informatique at Université Pierre Mendès-France (Grenoble II)DUT, Réseaux et télécommunication, DUT, Réseaux et télécommunication at Université Joseph Fourier (Grenoble I)
French, English, German
Github Skills (11)
neural-network10
pytorch10
machine-learning10
deep-learning10
onnx10
python10
ml10
exporter9
data-export9
exports9
testing8
Programming languages (9)
Github contributions (5)
mosaicml/composer
Jun 2023 - Mar 2025
Supercharge Your Model Training
Role in this project:
ML Engineer
ML EngineerContributions:11 reviews, 6 PRs, 51 comments in 1 year 9 months
Contributions summary:Antoine contributed to the improvement of the `composer` library by addressing issues related to model export and hyperparameter logging. They fixed a bug in the `ImageVisualizer` callback and implemented changes to expose input and output names during ONNX export, enhancing the model's usability for inference. Furthermore, the user updated testing and added type annotations, reflecting a focus on code quality and maintainability within the machine learning framework.
pytorchml-systemsdeep-learningneural-networksmachine-learning
antoinebrl/scalabel
Oct 2018 - Sep 2024
Quantify computer vision performance in human terms
Contributions:6 pushes, 1 branch in 6 years
pytorchvisiondeep-learningobject-detectioncomputer-vision
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