During a two-month period, Nathan Neitenbach contributed to the isaachraga/GammaRepo project by developing user-facing UI assets and advancing the CPU AI decision-making framework. He implemented new vehicle icon assets and refined their presentation to enhance player car selection in the game’s interface. Nathan established AI scaffolding and introduced dynamic, threshold-based scoring methods, later consolidating and extending these with stochastic post-alarm decision logic to deepen AI behavior and reduce deterministic patterns. Working primarily in Python, he focused on AI/ML and game development, ensuring maintainable, testable code while also addressing a critical game logic bug to improve data correctness.