Summary
Louis Dupont is an AI Solution Engineer based in Paris with 8 years of experience turning experimental ML projects into reliable, production-ready systems. He specializes in creating structured improvement processes for AI teams—moving them from guesswork to measurable, repeatable progress—work he now leads at Bridgy.ai. Previously at Deci (now part of NVIDIA) he maintained and grew the SuperGradients training library and built DataGradients, driving community adoption and hundreds of user-driven improvements. His background spans large-scale industrial applications—processing 120M+ documents and building ontologies at Servier—to research in NLP and weakly supervised learning at Tsinghua, giving him a rare blend of production engineering, open-source stewardship, and academic rigor. Colleagues rely on him for pragmatic, user-focused tooling and for translating research insights into scalable ML workflows.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Engineering Science, Master of Science - MS Engineering Science at Centrale Lille
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Tsinghua University
Chinese Language, Chinese Language at Beijing Language and Culture University
English, French, Chinese, German