Raouf Keskes

AI Research Engineer II at InstaDeep

Paris, Ile-de-France
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Summary

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Senior
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Top School
Raouf Keskes is an AI Research Engineer with eight years of experience building end-to-end ML pipelines and deploying research-grade models in production environments. Currently at InstaDeep, he bridges theory and practice—designing algorithms, implementing scalable training/inference workflows, and containerizing solutions for GPU clusters and SLURM-managed HPC. His background in XAI produced a novel method (CAMEL) addressing limitations of popular interpretability techniques, and at MAbSilico he shipped practical tools for antibody binding-site prediction and protein file manipulation. Comfortable translating complex research into readable code and clear explanations, he combines rigorous academic training from Sorbonne with hands-on experience across sequence/structure biology and computer vision. Notably, he iterates between deep dives into papers and coding experiments to stay at the cutting edge of fast-moving AI research.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree, Mathematics and Computer Science, (Distinction), Bachelor's degree, Mathematics and Computer Science, (Distinction) at Université des Sciences et de la Technologie 'Houari Boumediène'
bookEngineering Master's degree, Artificial Intelligence, 15/20 (High honours), Engineering Master's degree, Artificial Intelligence, 15/20 (High honours) at Sorbonne University
bookBachelor's degree, Computer Science, 15/20 (High honours), Bachelor's degree, Computer Science, 15/20 (High honours) at Pierre and Marie Curie University
languagesFrench, Arabic, English
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Github Skills (34)

convex-hull10
image-synthesis9
geometry9
3d9
geometry-processing9
genomics9
protein-structure8
python8
phylogenetics8
inpainting8
generative-adversarial-network8
super-resolution8
sequence-alignment8
bioinformatics8
image-processing7

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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Inpainting holes in images has been always a fascinating hard task for humans , the latter is harder when we extend it to videos and add a temporal axis .
Contributions:40 commits, 4 PRs, 32 pushes in 10 months
inpainting
Contributions:12 commits, 10 pushes, 1 branch in 1 year 9 months
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