Alexandre Kempf
CTO at Matricis.ai
Missillac, Pays de la Loire, France
Summary
🤩
Rockstar🎓
Top SchoolAlexandre Kempf is a Lead Software Engineer with a decade of experience bridging neuroscience, biology and data-driven product engineering from research labs to AI startups. He holds advanced training from École normale supérieure and a PhD-style research background modeling nonlinear auditory systems, which informs his rigorous approach to ML and data workflows. Alexandre has led data and ML teams at companies including Lixo, Deemea and Matricis.ai, and contributed to high-profile open-source tooling such as DVC—improving experiment versioning, plotting, and automation for reproducible ML. He combines hands-on coding and architecture with a researcher's curiosity, often surfacing subtle model and data nuances that improve production reliability. Based in Pays de la Loire, he pairs domain expertise in life sciences with pragmatic product engineering to operationalize complex experiments at scale.
11 years of coding experience
7 years of employment as a software developer
Master's degree Neurosciences, Master's degree Neurosciences at Ecole normale supérieureLicence bidisciplinaire biologie-mathematiques biology, mathematics, statistics, Licence bidisciplinaire biologie-mathematiques biology, mathematics, statistics at Pierre and Marie Curie University
Stackoverflow
979reputation
232kreached
18answers
1question
matplotlib
top-5%
python
top-5%
Github Skills (21)
rep10
python10
data-science10
machine-learning10
data-versioning10
repr10
version-control10
versioning10
matplotlib9
pytest9
developer-tools9
git7
autoupdate6
docker6
interpolation6
Programming languages (7)
Github contributions (5)
treeverse/dvc
Oct 2020 - Feb 2024
🦉 Data Versioning and ML Experiments
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 3 PRs, 19 pushes in 3 years 5 months
Contributions summary:Alexandre primarily contributed to the development and improvement of data versioning and machine learning experiment tracking features within the DVC repository. They implemented and tested new configurations for plotting and visualizations, particularly focusing on how plots interact with the broader DVC system. The user also introduced automated experiment pushing to DVC Studio, enhancing the integration of experiments. The work includes refactoring of the existing plotting code and adding tests to ensure feature correctness.
data-versioningmachine-learningdata-sciencereproducibilitydata-version-control
AlexandreKempf/website
Sep 2023 - May 2025
personal website
Contributions:14 PRs, 43 pushes, 9 branches in 1 year 7 months
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