Haris Sahovic is a data scientist and quant researcher with nine years of experience, co-founder of Delf Research where he leads machine learning for quantitative research. He combines rigorous academic training (M.Eng. École Polytechnique, MS Columbia in ML) with hands-on R&D across NLP, unsupervised methods, and production analytics. His background spans cybersecurity and public-sector internships to building tooling—most notably poke-env, an open Python library for training game AIs—demonstrating a flair for creative open-source projects. Based in Paris, he also contributes to policy and research as a member of the Concorde Foundation’s Scientific Council, bridging technical depth with public-finance and technology policy.
9 years of coding experience
2 years of employment as a software developer
M.S. in Computer Science, Machine Learning track, Computer Science, M.S. in Computer Science, Machine Learning track, Computer Science at Columbia University in the City of New York
Bachelor's degree, Social sciences, Bachelor's degree, Social sciences at Sciences Po
Bachelor of Applied Mathematics to Social Sciences, Mathematics, Computer Science and Economics, Bachelor of Applied Mathematics to Social Sciences, Mathematics, Computer Science and Economics at Université Paris 1 Panthéon-Sorbonne
French scientific baccalaureate, Specialisation in Mathematics, A, French scientific baccalaureate, Specialisation in Mathematics, A at Lycée Buffon
M.Eng., Computer Science, M.Eng., Computer Science at École Polytechnique
Mathematics, One year exchange, Mathematics, One year exchange at Monash University
A python interface for training Reinforcement Learning bots to battle on pokemon showdown
Contributions:53 releases, 98 reviews, 741 commits in 3 years 6 months
pokemon-showdownpythonagentbattlebot
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