Johan Gras
Deep Learning Researcher at Confidential HFT
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJohan Gras is a Deep Learning Researcher based in London with 8 years of experience building and productionising large-scale AI systems, including training 10B+ parameter models on 500+ GPU farms using 3D parallelism and ZeRO-style optimizations. He has pioneered novel transformer architectures for quantitative finance at selective HFT firms and led efforts that cut model training time by two orders of magnitude. His background spans RL, synthetic-data fine-tuning, and inference optimization, with concrete contributions to TensorFlow and open-source MuZero/AlphaEvolve implementations. Comfortable bridging research and engineering, he’s delivered tooling for GPU farms and monthly technical talks, and brings an unusual blend of low-level systems work (TFLite/TensorFlow operator and model-optimisations) with frontier model research and a strong commitment to AI safety.
8 years of coding experience
1 year of employment as a software developer
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at Ecole nationale supérieure de l'Electronique et de ses ApplicationsBachelor Computer Science, Bachelor Computer Science at Université Paris-Saclay
Github Skills (36)
python10
optimizers10
data-science10
machine-learning10
optimizer10
model-compression10
ml10
keras10
pruning10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
compression10
optimization10
Programming languages (3)
Github contributions (5)
johan-gras/Motion-Capture
May 2018 - Oct 2019
Contributions:9 commits, 7 pushes, 1 branch in 1 year 5 months
johan-gras/johan-gras.github.io
Aug 2018 - Jun 2021
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Contributions:312 pushes in 2 years 10 months
simple-websitebeautiful-jekylljekylljekyll-thememinutes
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