Luis Montero
Research Engineer at Mistral AI
Tours, Centre-Val de Loire, France
Summary
🤩
Rockstar🎓
Top SchoolLuis Montero is a research engineer with a decade of hands-on experience building privacy-preserving and production-ready ML systems, most recently at Mistral AI after a multi-year stint as a Machine Learning Engineer at Zama. He has deep expertise in applied mathematics and data science from top French institutions (École Polytechnique, Paris-Saclay) and a track record of translating research into deployable tooling, including contributions to the Concrete ML FHE framework where he integrated regression models and added support for tree-based methods and MLIR generation. Comfortable across research, DevOps and model engineering, he has worked in healthcare imaging, genomics, and product contexts, plus taught statistical learning to master’s students. Colleagues value him for bridging theoretical rigor with pragmatic engineering—improving build pipelines and reproducible benchmarks as much as model accuracy.
10 years of coding experience
7 years of employment as a software developer
Gap Year, Computer Science, Gap Year, Computer Science at CentraleSupélecMaster's degree, Data-Science, Master's degree, Data-Science at École PolytechniqueBachelor, Mathematics, Bachelor, Mathematics at Paris-Sud UniversityMaster, Applied Mathematics, Master, Applied Mathematics at Paris-Saclay UniversityBaccalauréat OIB, Sciences, Baccalauréat OIB, Sciences at Lycée Marseilleveyre
French, Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
pytorch10
github-ci10
python10
scikit10
machine-learning10
cicd10
mlops10
tensorflow10
scikit-learn10
githubaction-workflow10
data-science9
torchscript9
bash9
torch-hub9
homomorphic-encryption9
Programming languages (6)
Github contributions (5)
zama-ai/concrete-ml
Jul 2022 - Jan 2023
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
Role in this project:
DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:3 releases, 600 reviews, 72 commits in 5 months
Contributions summary:Luis's contributions primarily revolve around enhancing the repository's build and deployment processes alongside the integration of machine learning models. They added installation steps for the GitHub CLI to the setup scripts, improving the build environment. Furthermore, the user integrated new regression models, specifically Ridge, Lasso, and ElasticNet, into the Concrete ML framework. They also added MLIR generation to the benchmark scripts and added support for XGBoost and Random Forest regressors.
scientistspythonparticulartfhefhe
fd0r/fd0r.github.io
Jul 2018 - Jul 2022
Contributions:26 pushes, 1 branch, 1 comment in 4 years
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.