Thomas Robert is an R&D team lead and deep learning specialist with 11 years of experience building computer vision research into production at Heuritech, where he progressed from engineer to team lead. He holds a PhD in deep learning for computer vision from Sorbonne Université and combines strong research rigor with hands-on engineering across Python, big-data tooling and deployment. Known for translating academic advances into commercial features, he has led cross-functional projects since early careers in ML and geo-analysis, and previously contributed to online video optimization and big-data pipelines. Based in Paris, he brings both leadership and a CTO-level perspective on productizing ML, and maintains an interactive public resume showcasing his technical journey and outputs.
11 years of coding experience
2 years of employment as a software developer
Master’s degree in Multimedia Information Processing System, Multimedia Information Processing System, Master’s degree in Multimedia Information Processing System, Multimedia Information Processing System at Université de Rouen
Doctorat, Deep Learning pour la vision par ordinateur, Doctorat, Deep Learning pour la vision par ordinateur at Sorbonne Université
Master’s degree (“diplôme d’ingénieur”) in Data Science, Data Science, Master’s degree (“diplôme d’ingénieur”) in Data Science, Data Science at INSA Rouen
This repository contains the code for my home improvements projects (home automation, plants watering, everyday calendar, motorized mobile)
Contributions:54 commits, 47 pushes in 5 years 1 month
everydaycalendariftttgoogle-homegarden
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