Summary
Alexis Zubiolo is an AI team lead with a decade of experience building and operationalizing machine learning systems across research and industry, currently leading AI efforts at Filigran. He combines a PhD in Computational and Applied Mathematics with hands-on expertise in optimization, OR, demand forecasting, and modern NLP/LLM pipelines developed during an extended data science leadership role at Transmetrics. Alexis has shipped production ML for web-scale advertising and document understanding (including MDLSTM and attention-based OCR) and mentored the next generation of data practitioners through teaching and OpenClassrooms. Equally comfortable in research and production, he often bridges algorithmic rigor with practical system design—applying mathematical depth to make AI agents and optimization models work at scale from Clermont-Ferrand.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics, Doctor of Philosophy (Ph.D.) Computational and Applied Mathematics at Université Côte d'Azur
Master of Science (M.Sc.) and Master of Engineering (M.Eng.) degrees Computational and Applied Mathematics, Master of Science (M.Sc.) and Master of Engineering (M.Eng.) degrees Computational and Applied Mathematics at ENSEEIHT
Classes Préparatoires aux Grandes Ecoles Mathematics and Physics, Classes Préparatoires aux Grandes Ecoles Mathematics and Physics at Lycée Blaise Pascal
French, English, Spanish, Russian, Bulgarian