Alexis Cruveiller
Data Scientist
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolAlexis Cruveiller is a data scientist with six years’ experience building and productionizing machine learning products across luxury, retail, banking and manufacturing, currently focused on decarbonization at Carbonfact. He combines hands-on ML engineering — from scalable forecasting and hierarchical Bayesian models to MLOps and data platform design — with a product-first mindset that drives usable, business-facing solutions. At Ekimetrics and Pernod Ricard he led cross-functional efforts that turned R&D into repeatable products, improved forecasting accuracy at scale, and helped non-technical stakeholders adopt ML-driven workflows. He is an active open-source contributor to the widely used CodeCarbon project, adding emission-tracking features and improving APIs and testing to make compute-aware ML more practical. Multilingual and culturally fluent after living and studying across Europe and Russia, he brings a global perspective to stakeholder collaboration and product design. Outside work he enjoys connecting over coffee to discuss data science and sustainable tech.
6 years of coding experience
6 years of employment as a software developer
Génie Informatique Pour l'Aide à la Décision, Génie Informatique Pour l'Aide à la Décision at IMT AtlantiqueLycée Francais de MoscouLycée Francais de BarceloneNorwegian University of Science and TechnologyLycée Chaptal
French, English, Spanish, Catalan, Russian
Github Skills (8)
api10
python10
apidoc10
scikit-learn9
testing9
scikit9
machine-learning8
database-design8
Programming languages (2)
Github contributions (5)
mlco2/codecarbon
Jul 2022 - Jan 2023
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 24 commits, 1 PR in 5 months
Contributions summary:Alexis contributed to the CodeCarbon project by adding functionality related to tracking and reporting compute emissions. They updated test files and API inputs and added new features such as including the codecarbon version in the starting log and output data, and added an example using sklearn. Furthermore, the user added the codecarbon version in the database and updated schemas and api client.
pythondata-scienceemissionscarbon-emissionsrecommend
Acruve15/pyro-api
Mar 2023 - Aug 2023
Alert Management API for wildfire prevention, detection & monitoring
Contributions:19 pushes, 1 branch in 4 months
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