Mohammadamin Barekatain is a quantitative developer lead with 10 years of engineering experience blending machine learning research and production-focused systems. He transitioned from a research trajectory at DeepMind—where he tech-led FunSearch and contributed to high-profile projects like AlphaTensor, AlphaProof, AlphaDev, AlphaZero, and MuZero—to a quant role at Quadrature in London. His background spans reinforcement learning, computer vision, and computational genomics, with published work including IJCAI and Bioinformatics papers and a novel Neural A* for path planning. Known for turning research ideas into robust implementations, he has built transferable RL methods and compact deep models that improved accuracy and speed in real deployments. Colleagues value his ability to straddle cutting-edge research and pragmatic engineering, shipping models that scale beyond benchmarks. He brings a rare combination of academic rigor from TUM and hands-on experience across industry labs and finance.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Technical University of Munich
Bachelor’s Degree Computer Engineering - Hardware, Bachelor’s Degree Computer Engineering - Hardware at University of Isfahan
Contributions:101 commits, 13 pushes, 1 branch in 1 year 1 month
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Mohammadamin Barekatain - Quantitative Developer Lead