Ridouane Ghermi is a data scientist and PhD student at INRIA and École Polytechnique, specializing in long-form video understanding under advisors Ivan Laptev and Vicky Kalogeiton. With eight years of experience across research and industry, he has worked on computer vision, trading research, and medical AI at institutions like Owkin and CFM. He holds engineering degrees from ENSAE Paris and Télécom SudParis with a strong mathematical foundation from Lycée Faidherbe. Ridouane has published peer-reviewed work on 360° media processing and combines rigorous research methods with practical product-oriented data science. Comfortable moving between prototype research and production models, he seeks roles that leverage his cross-disciplinary expertise in video understanding and applied machine learning.
8 years of coding experience
2 years of employment as a software developer
MPSI/MP* - Licence Mathématiques, Mathematics, MPSI/MP* - Licence Mathématiques, Mathematics at Lycée Faidherbe, Lille
Engineering Degree in Data Science, Engineering Degree in Data Science at ENSAE Paris
Engineering Degree in Applied Mathematics and Computer Science, Engineering Degree in Applied Mathematics and Computer Science at Télécom SudParis
Contributions:23 commits, 20 pushes, 1 branch in 2 years 1 month
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