Developed the core gameplay logic and artificial intelligence for a Tic Tac Toe game in the rpyle/2025TicTacToe repository, focusing on Python-based game development. Built the main game engine in cueto.py, implementing board rendering and move validation to establish a reliable foundation for future enhancements. Introduced a 50/50 Cats AI strategy designed to improve endgame scenarios by targeting capture opportunities and refining move selection, particularly in cat’s game situations. All contributions were documented with clear commit messages to support maintainability and future feature work. The project demonstrates proficiency in Python and game development, emphasizing structured code and thoughtful AI design.