Fotis Kapotos
Machine Learning Engineer
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolFotis Kapotos is an Applied AI Scientist based in Paris with eight years of experience at the intersection of AI research, model risk, and quantitative methods. Trained at CentraleSupélec and ENS Paris-Saclay, he has moved between academic research on label-efficient learning and industry roles red-teaming and benchmarking multimodal GenAI systems for major banks. He combines hands-on work with vision-language models and instance segmentation with practical expertise in AI compliance and model governance under the EU AI Act. Comfortable translating rigorous math into deployable systems, he has a rare mix of technical depth and policy-minded thinking about how expertise should shape public affairs.
8 years of coding experience
1 year of employment as a software developer
MVA, Mathematics and Computer Science, MVA, Mathematics and Computer Science at ENS Paris-SaclayIngénieur, GPA : 4.0, Ingénieur, GPA : 4.0 at CentraleSupélecCPGE, PCSI-PSI*, CPGE, PCSI-PSI* at Lycée Saint LouisBaccalauréat Scientifique Spécialité mathématiques, Baccalauréat Scientifique Spécialité mathématiques at Lycée Louis-le-Grand
English, Greek, French
Github Skills (36)
fourier-transform10
svm-classifier10
deeplearning-ai10
controlled10
spectrogram9
robotics9
dtw9
pid-control9
robot9
transform9
pitch8
localization8
trajectory-generation8
matplotlib8
slam7
Programming languages (4)
Github contributions (5)
fotisk07/TPE-SI
Sep 2018 - Mar 2019
Contributions:1 release, 40 commits, 2 PRs in 5 months
fotisk07/World-Robot-Olympiad
Feb 2018 - Mar 2025
Contributions:3 pushes, 1 branch in 7 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.