Summary
Anthony Coutant is a founder and AI automation engineer with ten years of experience building pragmatic, production-ready systems that replace low-value manual work across legal, automotive, and research contexts. Based in Paris, he designs custom software—data extractors, RAG-powered agents, recommendation engines and adversarial simulation tools—and shepherds their integration into existing workflows while coaching CTOs and intrapreneurs on realistic automation strategies. His background combines a PhD in machine learning and academic roles (guest lecturer and LIPN associate) with hands-on startup leadership as co‑founder/CTO of an AI assistant for litigation, giving him both deep research chops and product execution skills. Comfortable with Scala/Spark, Python and cloud platforms, he focuses on interpretable, scalable solutions for temporal and document-heavy problems. An unexpected strength: he pairs advanced generative AI instruction with practical tooling to stress-test strategies using adversary simulations, not just models.
10 years of coding experience
Ph.D. in Computer Science Machine Learning, Ph.D. in Computer Science Machine Learning at Ecole Polytechnique de l'Université de Nantes
Travail émotionnel et tenue d'espaces, Travail émotionnel et tenue d'espaces at Possibility Management
MIAGE Master's degree Computer Science, MIAGE Master's degree Computer Science at Université de Nantes
Développement personnel - Approche corps émotions et théâtre, Développement personnel - Approche corps émotions et théâtre at Association CATT
Undergraduate degree Software Engineering, Undergraduate degree Software Engineering at Université de Nantes : IUT informatique
Coachng passage à l'action, Coachng passage à l'action at Paradox OS
Entrepreneurship, Entrepreneurship at École Polytechnique
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Nantes Université
French, English