Raphael Walker
Machine Learning Research Scientist at Flim
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolRaphael Walker is a Machine Learning Research Scientist based in Paris with 11 years of technical experience, combining rigorous mathematical training (MSc Mathematics of AI, BA in Mathematics) with a strong artistic sensibility. He focuses on deep image understanding, unsupervised representation learning, and cost-effective ways to extend foundation models, and currently builds photorealistic diffusion models and novel prompting techniques at Flim. His background spans decentralized systems and web/data engineering—co-authoring an IETF draft on universal synchronization and shipping visualization/debugging tools for peer-to-peer sync—highlighting a rare mix of theoretical research and practical engineering. Passionate about social justice, he brings an interdisciplinary perspective that informs creative approaches to ML problems and model stewardship.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Bard CollegeAssociate's degree, Mathematics, Associate's degree, Mathematics at Bard College at Simon's RockMaster of Science - MS, Mathematics of AI, Master of Science - MS, Mathematics of AI at Université Paris-Saclay
English, French
Github Skills (68)
diffusion-models10
audio10
diffusers10
flux10
pytorch10
stable-diffusion10
fine-tuning9
inpainting9
image-generation9
deep-learning9
braid9
machine-learning9
wayland8
qtquick8
typesetting8
Programming languages (9)
Github contributions (5)
braid-org/peery-view
Nov 2021 - Oct 2022
Contributions:267 commits, 179 pushes, 1 branch in 11 months
Slickytail/CitationBot
Oct 2014 - May 2015
Contributions:17 commits, 1 push in 7 months
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