Simon Brandeis is a Machine Learning Engineer based in Paris with 7 years of experience building, deploying and maintaining production ML applications and their cloud infrastructure. At Hugging Face he helped build AutoTrain and contributed to core open-source projects (huggingface_hub, datasets, evaluate), shipping backend, full‑stack and Kubernetes/Terraform work across Python, Rust and TypeScript. His background blends rigorous engineering (Ecole Centrale) and hands‑on ML research—past roles include deploying deep learning models for clinical EHRs and designing IoT cloud platforms. Comfortable across the stack, he’s known for pragmatic API and tooling improvements (e.g., upload endpoints, retry/backoff, dataset scripts) that smooth real-world ML workflows. Notably, he contributes to widely used Hugging Face libraries, helping bridge developer UX and robust infrastructure at scale.
7 years of coding experience
2 years of employment as a software developer
Digital Tech Year, Digital Tech Year at CentraleSupélec
Master of Engineering - Computer Science & Applied Mathematics, Science and engineering, Master of Engineering - Computer Science & Applied Mathematics, Science and engineering at Ecole Centrale Paris
Baccalaureate with honors for scientific studies, Science, Congratulations of the Jury, Baccalaureate with honors for scientific studies, Science, Congratulations of the Jury at Lycée polyvalent de Stella
Classes préparatoires, Classes préparatoires at Lycée Louis le Grand
Bachelor's degree, Fundamental Physics, Bachelor's degree, Fundamental Physics at Université Paris-Sud
Contributions:1 release, 31 reviews, 49 commits in 8 months
Contributions summary:Simon primarily focused on developing and refining the AutoNLP Python API, a crucial component of the `autotrain-advanced` repository. Their commits demonstrate the implementation of project progression display functionalities. Furthermore, the user made changes to handle authentication and integrate file uploading using the Hugging Face Hub. The contributions span various files, including those related to the project structure and command-line interface, indicating a focus on enhancing the core functionalities and user experience.
The official Python client for the Huggingface Hub.
Role in this project:
Back-end Developer
Contributions:94 reviews, 36 commits, 31 PRs in 1 year 4 months
Contributions summary:Simon primarily contributed to the development and maintenance of the Hugging Face Hub's Python client. Their work included implementing file upload endpoints and refining the API. Key contributions involved refactoring the `create_repo` function and adding features like the identical_ok option to the `upload_file` method. They also addressed compatibility issues, fixed Windows-related problems, and introduced the Stanza library.
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Simon Brandeis - Machine Learning Engineer at Hugging Face