Developed the Marquez Tic Tac Toe AI module for the rpyle/2025TicTacToe repository, focusing on enhancing game strategy and AI reliability. The work centered on implementing marquez.py, which introduced an algorithmic approach that prioritizes corner moves in the opening phase and shifts to center control during the mid-game. This strategy refinement aimed to improve both the AI’s competitiveness and the extensibility of the codebase for future experimentation. Utilizing Python for module development and applying skills in AI strategy and algorithm design, the project delivered a testable foundation for iterative improvements without addressing major bug fixes during the development period.