Raphaël Courivaud is a Paris-based CTO and co-founder with nine years of hands-on experience building end-to-end data products and teams across startups, public sector projects, and enterprise environments. Trained as a data scientist, he bridges data science, data engineering and ML engineering—moving models from experimentation to production with tools like Airflow, Kafka, FastAPI and cloud platforms. He has led and scaled data teams (Director Data Science at Cleed) while also founding and advising multiple companies, demonstrating both strategic leadership and day-to-day technical delivery. His background includes real-time systems for emergency management, recommendation and NLP projects for marketplaces, and practical computer vision deployments, showing a rare mix of operational and research-focused work. An educator and mentor at ESIEE Paris and OpenClassrooms, he also contributes to data engineering teaching materials, notably improving MongoDB tutorials to help junior engineers get production-ready.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Mathematics and Computer Science, Bachelor’s Degree, Mathematics and Computer Science at Université Paris-Est Marne-la-Vallée
Data Science Summer School, Machine & Deep Learning, Data Science Summer School, Machine & Deep Learning at École Polytechnique
Preparatory Class, Mathematics, Physics and Computer Science, Preparatory Class, Mathematics, Physics and Computer Science at Lycée Jean Moulin
Engineer’s Degree, Data Analysis, Data Science, Network, Internet of Things, Engineer’s Degree, Data Analysis, Data Science, Network, Internet of Things at ESIEE PARIS
Support de cours : Data Engineering sur la récupération de données WEB et l'intégration dans un flux de stockage basé sur MongoDB.
Role in this project:
Back-end Developer
Contributions:1 review, 114 commits, 2 PRs in 4 years
Contributions summary:Raphaël primarily contributed to the documentation, specifically creating and updating a MongoDB tutorial in a reStructuredText format. These updates involved adding code examples, explanations of MongoDB concepts such as databases, collections, and documents, and providing instructions for common operations like querying and indexing. The user also included code blocks and formatted text to improve readability, making the tutorial more accessible for data engineering learners.
Contributions:28 commits, 44 pushes, 1 branch in 1 year 6 months
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Raphaël Courivaud - CTO & Co-founder at beta.gouv.fr