Fotis Kapotos

Applied AI Scientist at BNP Paribas

Paris, Ile-de-France
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Summary

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Senior
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Top School
Fotis 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.
code8 years of coding experience
job1 year of employment as a software developer
bookMVA, Mathematics and Computer Science, MVA, Mathematics and Computer Science at ENS Paris-Saclay
bookIngénieur, Ingénieur at CentraleSupélec
bookCPGE, PCSI-PSI*, CPGE, PCSI-PSI* at Lycée Saint Louis
bookBaccalauréat Scientifique Spécialité mathématiques, Baccalauréat Scientifique Spécialité mathématiques at Lycée Louis-le-Grand
languagesEnglish, Greek, French
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Github Skills (37)

lstm-neural-networks10
fourier-transform10
music-generation10
gradient-descent10
cnn-classification10
robot10
keras10
deeplearning-ai10
keras-neural-networks10
controlled10
backpropagation10
jupyter-notebook10
matplotlib9
trajectory-generation9
robotics9

Programming languages (5)

JavaScriptHTMLJupyter NotebookMATLABPython

Github contributions (5)

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fotisk07/TPE-SI

Sep 2018 - Mar 2019

Contributions:1 release, 40 commits, 2 PRs in 5 months
Contributions:3 pushes, 1 branch in 7 years 2 months
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