Samuel Berrien is a Data Scientist based in Paris with 10 years of experience applying machine learning and natural language processing to real-world problems. He has moved from a thesis-linked internship on multi-agent systems and document retrieval at Société Générale to consulting roles at SCIAM and now leads data science work at CortAIx Factory. Trained at Université Paris-Saclay with top honors, he builds deep learning models grounded in scientific literature and enjoys searching academic solutions to practical engineering challenges. Fluent in French and comfortable bridging research and production, he also maintains an active GitHub (Ipsedo) that reflects his interest in reproducible, research-driven code.
10 years of coding experience
5 years of employment as a software developer
Master 2 AIC, Computer Science, Mention très bien, Master 2 AIC, Computer Science, Mention très bien at Université Paris-Saclay
Licence, Computer Science, Mention bien, Licence, Computer Science, Mention bien at Université Paris-Sud
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