Alex Greason

Software Development Engineer II at Independent projects

Austin, Texas, United States
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Summary

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Senior
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Top School
Alex Greason is a Software Development Engineer II at AWS with a decade of engineering experience and dual BS degrees in Computer Science and Mathematics from UT Austin. He focuses on AI and machine learning, driving self-directed projects in deep learning, reinforcement learning, preference estimation, and GPU-accelerated computing, primarily using Python. Alex contributes to notable open-source work—improving LeelaChessZero’s MCTS and performance-sensitive data structures—demonstrating competence with neural-network-driven search. His background includes leading Java-based robotics programming that won a Control Award for autonomous sensor-driven navigation, reflecting practical systems-level and embedded experience. Comfortable spanning research-style experiments and production engineering, he pairs strong mathematical foundations with hands-on implementation across Python and Java.
code10 years of coding experience
job8 years of employment as a software developer
bookMathematics, Mathematics at Midland College
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Texas at Austin
bookMathematics, Mathematics at University of Texas of the Permian Basin
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Github Skills (11)

deep-reinforcement-learning10
c-language10
cprogramming-language10
ai10
game-ai10
chess-engine10
neural-network9
artificial-neural-networks9
algorithm9
algorithms9
uci8

Programming languages (7)

C#JavaC++CGoJupyter NotebookPython

Github contributions (5)

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LeelaChessZero/lc0

May 2018 - Jul 2018

Open source neural network chess engine with GPU acceleration and broad hardware support.
Role in this project:
userBack-end Developer
Contributions:5 commits, 5 PRs, 33 comments in 1 month
Contributions summary:Alex focused on enhancing the chess engine's MCTS (Monte Carlo Tree Search) implementation. They introduced a policy softmax temperature option, modifying the search algorithm to incorporate it. Further improvements included optimizing code by removing redundant conditions and reducing the size of the Move data structure. The user also addressed code formatting issues.
pythonrewrittenucichess-enginebackends
Contributions:13 commits, 10 pushes, 1 branch in 7 months
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Alex Greason - Software Development Engineer II at Independent projects