
Contributed to the YuichiFujita/2024_TeamGraduation repository by developing and refining AI-driven gameplay features using C++ and object-oriented programming principles. Focused on enhancing AI behavior, including movement logic, state management, and action systems, to create more realistic and reliable in-game interactions. Implemented features such as crab-walk movement, distance-based targeting, and idle behaviors, while also addressing edge-case bugs and improving code clarity through systematic refactoring. Integrated 3D graphics and asset management workflows, updated visual elements like UV mappings, and introduced debugging tools to support maintainability. These efforts resulted in a more robust, maintainable, and engaging gameplay experience.
January 2025 (2025-01): Focused on stabilizing AI behavior, improving reliability, and tightening gameplay balance for YuichiFujita/2024_TeamGraduation. Delivered critical AI fixes, introduced debugging/UI enhancements, and completed targeted refactors to reduce maintenance burden. These efforts yielded a more predictable AI experience, reduced edge-case failures, and tangible improvements in player interactions and overall gameplay quality.
January 2025 (2025-01): Focused on stabilizing AI behavior, improving reliability, and tightening gameplay balance for YuichiFujita/2024_TeamGraduation. Delivered critical AI fixes, introduced debugging/UI enhancements, and completed targeted refactors to reduce maintenance burden. These efforts yielded a more predictable AI experience, reduced edge-case failures, and tangible improvements in player interactions and overall gameplay quality.
Concise December 2024 monthly summary for YuichiFujita/2024_TeamGraduation focusing on AI-driven gameplay enhancements and code quality improvements that improved realism, reliability, and maintainability, with clear business value for player engagement and faster iteration on AI behavior.
Concise December 2024 monthly summary for YuichiFujita/2024_TeamGraduation focusing on AI-driven gameplay enhancements and code quality improvements that improved realism, reliability, and maintainability, with clear business value for player engagement and faster iteration on AI behavior.
November 2024 performance summary for YuichiFujita/2024_TeamGraduation. Delivered substantial AI gameplay and code quality improvements, enabling richer in-game AI interactions and faster feature delivery. Focused on robust AI behavior, reliable pathing, and maintainable code, with visual improvements and project hygiene to support ongoing momentum.
November 2024 performance summary for YuichiFujita/2024_TeamGraduation. Delivered substantial AI gameplay and code quality improvements, enabling richer in-game AI interactions and faster feature delivery. Focused on robust AI behavior, reliable pathing, and maintainable code, with visual improvements and project hygiene to support ongoing momentum.

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