Nathan Ramoly is an ML research engineer with a PhD in computer science and a decade of experience applying AI across robotics, biometrics, and production-ready systems. He has moved from academic robot perception research to industry roles at IDnow France and now Skyld AI, combining rigorous research, data analysis, and software development. Nathan is comfortable taking models from publication-grade prototypes to deployable solutions and has authored research during his doctoral and industrial work. Based in Brittany, he is polyvalent and values clear external communication while explicitly preferring non-consulting roles. A practical thinker, he has hands-on experience building economical motion-analysis systems and translating clinical or opportunistic-robotics problems into ML pipelines.
10 years of coding experience
4 years of employment as a software developer
Diplôme d'ingénieur Informatique, Diplôme d'ingénieur Informatique at Institut des Sciences et Techniques des Yvelines (ISTY)
Doctor of Philosophy (PhD) Informatique, Doctor of Philosophy (PhD) Informatique at Université Paris-Saclay
Master recherche Informatique, Master recherche Informatique at UVSQ Université de Versailles Saint-Quentin-en-Yvelines
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