Summary
Sébastien Gardoll is a software engineer and certified data scientist with 11+ years crafting backend systems, model-based engineering tools, and machine-learning pipelines for climate and simulation research. Based in France, he blends software architecture and hands-on development—spanning C/C++, Java, web backends and data engineering—for research institutions and industry contractors. At CNRS he builds ML-driven analysis tools for climate simulation data while also supervising external development and providing consultancy, reflecting a mix of research rigor and production focus. His background includes developing code generators, model transformers and CI tooling for automotive systems, and earlier work building distributed hydrological simulation platforms and unique laboratory automation devices. He prefers application development (not embedded or DevOps) and brings the uncommon combination of lab hardware control, model-based tooling and big-data analytics to applied software projects.
11 years of coding experience
18 years of employment as a software developer
Maîtrise, analytical and organical chemistry, Maîtrise, analytical and organical chemistry at IUP chimie appliquée d'Orléans
National Conservatory of Arts and Crafts
English, Portuguese, Spanish