Michal Šustr is a founder and research scientist with 11 years of experience building ML-driven systems and trading research, currently leading Minfx Technologies after research roles at Tower Research Capital and EquiLibre. He holds a PhD track and a Master's in Artificial Intelligence from Czech Technical University in Prague, blending deep academic rigor with hands-on engineering. His background includes a DeepMind research internship and contributions to the notable OpenSpiel project, where he improved type safety and added unit tests for core game-theoretic algorithms. Michal’s experience spans production engineering (Android work at eMan) to ML research and test automation, reflecting a rare mix of low-level code hygiene and high-level algorithmic research. Colleagues would describe him as meticulous about correctness—he often surfaces subtle type and testing improvements that prevent complex downstream bugs.
11 years of coding experience
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Czech Technical University in Prague
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:82 reviews, 207 commits, 93 PRs in 2 years 1 month
Contributions summary:Michal primarily focused on improving the codebase through type hinting and refactoring code. The main contribution includes converting instances of 'int' to the type 'Player' throughout the code, as well as the addition of a test file with an array of unit tests to check and ensure code integrity. The user also made multiple unit tests that are meant to verify core functions, like the counterfactual probabilities for best response.
Contributions:65 commits, 1 PR, 40 pushes in 4 months
pythondata-scienceworkshopmachine-learningmlops
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