Lucas Fischer
Angel Investor at Anyshift.io
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolLucas Fischer is an AI tech strategist and founder-turned-executive with a decade of experience building and scaling computer-vision and ML products from startup to acquisition. As co-founder and CTO of DatakaLab he developed neural-network compression techniques to run modern vision models on edge devices, later joining Apple as a Machine Learning Manager and now advising at e4n Group while angel investing through Anyshift.io. Trained at CentraleSupélec and UC Berkeley in applied mathematics, IEOR and AI, he blends rigorous quantitative foundations with product-focused engineering. He also contributes to open-source ML tooling documentation—improving accessibility for reinforcement-learning traffic control frameworks—highlighting a knack for making complex systems easier to use.
9 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Industrial Engineering and Operations Research, Master of Engineering - MEng, Industrial Engineering and Operations Research at University of California, BerkeleyMS in Applied Mathematics expected in August 2019. BS in Engineering received in September 2016., MS in Applied Mathematics expected in August 2019. BS in Engineering received in September 2016. at CentraleSupélecLycée Henri IV, Paris, France
Github Skills (4)
documentation10
dockers9
docker9
reinforcement-learning3
Programming languages (3)
Github contributions (5)
flow-project/flow
Aug 2018 - Nov 2018
Computational framework for reinforcement learning in traffic control
Role in this project:
Technical Writer
Technical WriterContributions:71 commits, 11 PRs, 48 pushes in 2 months
Contributions summary:Lucas primarily focused on updating and expanding the project documentation. They added a summary, reorganized the installation instructions for both local and remote desktop setups using Docker, and clarified steps for running examples. The contributions centered on improving the accessibility and clarity of the documentation to aid users in getting started with the "flow" framework. The user also corrected typos throughout the documentation.
autonomousreinforcement-learningvehicle-controldeep-reinforcement-learningbenchmark
lucfisc/EE290O
Aug 2018 - Sep 2018
Contributions:2 PRs, 2 pushes, 2 branches in 16 days
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