Maxime Bucher

Vice President - Cryptocurrency Portfolio Manager at TOBAM

Greater Paris Metropolitan Region France
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Summary

👤
Senior
🎓
Top School
Maxime Bucher is a PhD-trained AI researcher turned quantitative crypto portfolio manager with eight years of experience bridging deep learning research and financial engineering. He built a strong publication record at top venues (NeurIPS, CVPR, ICCV, ECCV) while developing multimodal vision-and-language models and domain-adaptive segmentation for autonomous driving at Valeo.ai and ONERA. Since 2021 he has applied his ML expertise to crypto—moving from independent crypto development into VP-level portfolio and quantitative research roles at TOBAM—bringing a research-first, data-driven approach to market strategies. Comfortable with Python, NLP, computer vision and probabilistic modeling, he combines academic rigor with pragmatic deployment experience across both lab and production settings. An underappreciated strength is his track record in zero-shot and domain-adaptation techniques, which informs robust system design under distribution shifts common to both perception and financial markets.
code8 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy (PhD), Deep Learning for Computer Vision and Natural Language Processing, Doctor of Philosophy (PhD), Deep Learning for Computer Vision and Natural Language Processing at GREYC - CNRS
bookMaster’s Degree, Machine Learning, Information and Content, Master’s Degree, Machine Learning, Information and Content at Université Paris-Sud
bookBachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Université Paris Dauphine- PSL
languagesEnglish, French
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Github Skills (6)

indexing7
blockchain7
ethereum6
semantic-segmentation4
zero-shot-classification4
uniswap2

Programming languages (4)

TypeScriptShellGoPython

Github contributions (5)

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Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS
Contributions:20 commits, 18 pushes, 1 branch in 7 days
zero-shot-classification
Contributions:62 pushes, 1 branch in 1 month
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