
Worked on the Rabies repository to deliver core AI enhancements for a game project, focusing on integrating new AI enemy assets and their associated behavior trees using Unreal Engine Blueprints and C++. The work included implementing BP_Deadeye_AI and BP_LockHeed_AI enemy types, each with custom behavior trees to drive in-game decision-making. Additionally, improved hit detection feedback by replacing line rendering with a debug cylinder in RCharacterBase.cpp, providing clearer visual cues to players. This feature laid the foundation for future AI iteration cycles and stability improvements, demonstrating a methodical approach to AI programming and game development within Unreal Engine’s ecosystem.
Month: 2024-11. Focused on delivering core AI enhancements and stability improvements for the Rabies project. Key outcomes include integration of AI enemy assets and behavior trees, plus visual feedback improvements to hit detection for clearer player feedback. Lays groundwork for future AI features and iteration cycles.
Month: 2024-11. Focused on delivering core AI enhancements and stability improvements for the Rabies project. Key outcomes include integration of AI enemy assets and behavior trees, plus visual feedback improvements to hit detection for clearer player feedback. Lays groundwork for future AI features and iteration cycles.

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