Arthur Pastel is a founder and engineering leader with 10 years of experience building performant, production-grade software and teams across startups and scale-ups. As Co-Founder & CEO of CodSpeed in New York he focuses on catching performance regressions early in the development lifecycle and shipping tools that make software faster. His background spans embedded AI, backend systems, full-stack development and robotics from roles at Qopius/Trax and earlier startups, where he led cross-functional engineering, hiring and project delivery. Arthur is an active open-source contributor—his deep work on the odmantic MongoDB ODM demonstrates strong design of type-hinted Python data models, session handling and BSON type support. He blends hands-on engineering with product-driven leadership, and has a track record of turning research-grade ML and vision systems into reliable, scalable services. Fluent in both low-level embedded constraints and high-level developer tooling, he pursues more tech than there are hours in the day.
10 years of coding experience
6 years of employment as a software developer
Master of Engineering - MEng Computer science, Master of Engineering - MEng Computer science at Télécom Paris
MPSI / MP* Mathematics & Physics, MPSI / MP* Mathematics & Physics at Lycée La Martinière Monplaisir
Baccalauréat Science, Baccalauréat Science at Lycée des Métiers de l'Audiovisuel et du Design Léonard de Vinci
Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
Role in this project:
Back-end Developer
Contributions:20 releases, 25 reviews, 564 commits in 2 years 8 months
Contributions summary:Arthur contributed significantly to the core logic of the `odmantic` library. Their work included initial library content, model definitions, session management, and field implementations, all centered around creating an Object Document Mapper (ODM) for MongoDB. The user also implemented and tested various BSON types, including their correct handling of different datatypes. Furthermore, they worked on enhancing the engine, adding functionalities such as index creation and deep model nesting to improve query capabilities.
Contributions:1 review, 4 pushes, 1 branch in 2 years 2 months
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