Paul Vardon is a data science and AI practitioner with nine years of experience applying deep learning, computer vision and probabilistic methods to industrial problems, currently managing data science applications at Dassault Systèmes from Paris. He combines dual elite engineering and AI degrees (École Polytechnique and Imperial College London) with hands-on product experience in insurance and big-data startups, where he automated reporting pipelines and translated research into client-ready solutions. Comfortable taking models from literature to production, he has delivered ML-driven risk and pricing insights at AXA and Artificial Labs and now focuses on embedding advanced ML into engineering software. Known for bridging rigorous academic methods (variational inference, RL) with pragmatic deployment, he seeks roles that push cutting-edge AI into industrial processes across France or internationally.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng General Studies - Speciality Data Science, Master of Engineering - MEng General Studies - Speciality Data Science at École Polytechnique
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Imperial College London
Classes Préparatoires aux Grandes Écoles Mathematics Physics & Computer Science, Classes Préparatoires aux Grandes Écoles Mathematics Physics & Computer Science at Lycée Pierre De Fermat
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