Raphael Walker
Machine Learning Research Scientist at Flim
Paris, Ile-de-France
Summary
👤
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 (69)
python10
diffusion-models10
deep-learning10
image-generation10
backend10
audio10
ai10
fine-tuning10
graph10
diffusers10
text2image10
flux10
pytorch10
stable-diffusion10
gpu9
Programming languages (10)
Github contributions (5)
Slickytail/resume
Aug 2020 - May 2025
Contributions:15 pushes, 1 branch in 4 years 9 months
braid-org/peery-view
Nov 2021 - Oct 2022
A Subjective Web-of-Trust for Decentralized Moderation and Peer Review
Contributions:267 commits, 179 pushes, 1 branch in 11 months
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