
Over three months, contributed to the NbcampUnreal/1st-Team2-Final-Project by developing and refining advanced AI systems, boss mechanics, and gameplay features using Unreal Engine, C++, and Blueprint scripting. Delivered scalable AI controllers, custom logging, and robust behavior trees to enhance enemy behaviors and boss encounters, while implementing asset and animation integrations for immersive feedback. Addressed stability and performance through systematic bug fixes, code cleanup, and data pipeline improvements, ensuring maintainable and extensible architecture. Enhanced underwater and combat AI, synchronized state management, and optimized collision and navigation systems, resulting in more reliable gameplay and a cleaner, more efficient codebase for future development.
July 2025 performance summary for NbcampUnreal/1st-Team2-Final-Project: Stabilized gameplay AI, delivered key bug fixes, and laid groundwork for upcoming boss features. Key features delivered: code cleanup and groundwork for boss blood effects and AI logs (including removal of obsolete debug logs and adding a forward declaration to support future AI features). Major bugs fixed: Limadon attack bug (attack logic corrected and asset metadata updated) and EyeStalker target initialization bug (target reset via clearing relevant blackboard values and player states). Overall impact: stronger combat reliability, AI stability, and maintainability; faster delivery of upcoming boss-related features. Technologies/skills demonstrated: Unreal Engine AI/Behavior Tree debugging, asset metadata management, code refactoring, logging discipline, and rigorous commit traceability.
July 2025 performance summary for NbcampUnreal/1st-Team2-Final-Project: Stabilized gameplay AI, delivered key bug fixes, and laid groundwork for upcoming boss features. Key features delivered: code cleanup and groundwork for boss blood effects and AI logs (including removal of obsolete debug logs and adding a forward declaration to support future AI features). Major bugs fixed: Limadon attack bug (attack logic corrected and asset metadata updated) and EyeStalker target initialization bug (target reset via clearing relevant blackboard values and player states). Overall impact: stronger combat reliability, AI stability, and maintainability; faster delivery of upcoming boss-related features. Technologies/skills demonstrated: Unreal Engine AI/Behavior Tree debugging, asset metadata management, code refactoring, logging discipline, and rigorous commit traceability.
June 2025 performance summary for NbcampUnreal/1st-Team2-Final-Project: Delivered key gameplay and AI improvements with a strong emphasis on player feedback, stability, and data integrity. Key features include Blowfish explosion mechanics enhancements and related asset updates; underwater AI and EyeStalker task/AIController integration; and refactored Boss/Kraken systems with EnhancedBossAIController improvements. Major stability fixes addressed death state synchronization, animation binding issues, and log/debug cleanup. Additional blueprint and data work established a solid foundation for visuals and future features. Business value: more immersive combat feedback, more stable underwater encounters, reduced runtime overhead, and a cleaner, extensible codebase.
June 2025 performance summary for NbcampUnreal/1st-Team2-Final-Project: Delivered key gameplay and AI improvements with a strong emphasis on player feedback, stability, and data integrity. Key features include Blowfish explosion mechanics enhancements and related asset updates; underwater AI and EyeStalker task/AIController integration; and refactored Boss/Kraken systems with EnhancedBossAIController improvements. Major stability fixes addressed death state synchronization, animation binding issues, and log/debug cleanup. Additional blueprint and data work established a solid foundation for visuals and future features. Business value: more immersive combat feedback, more stable underwater encounters, reduced runtime overhead, and a cleaner, extensible codebase.
May 2025 performance summary for NbcampUnreal/1st-Team2-Final-Project: Delivered a cohesive AI and gameplay feature set with a focus on stability, scalability, and business value. Key features include a Custom Logging System with noise reduction and better diagnostics; a scalable Boss AI framework with base class, AI controller, and state/Tracking enhancements; Kraken System with movement/idle behavior and blueprint setup; and broadened AI/navigation capabilities via AI Pathfinding Stop, AI Pathfinding Plugin, and Navigation Agent. In addition, Behavior Tree/Blackboard enhancements and comprehensive BP/BT/Map data updates improved data fidelity and performance, complemented by code hygiene improvements (logging cleanup, code conventions) to streamline maintenance. The month also emphasizes per-task replication and improved testing readiness.
May 2025 performance summary for NbcampUnreal/1st-Team2-Final-Project: Delivered a cohesive AI and gameplay feature set with a focus on stability, scalability, and business value. Key features include a Custom Logging System with noise reduction and better diagnostics; a scalable Boss AI framework with base class, AI controller, and state/Tracking enhancements; Kraken System with movement/idle behavior and blueprint setup; and broadened AI/navigation capabilities via AI Pathfinding Stop, AI Pathfinding Plugin, and Navigation Agent. In addition, Behavior Tree/Blackboard enhancements and comprehensive BP/BT/Map data updates improved data fidelity and performance, complemented by code hygiene improvements (logging cleanup, code conventions) to streamline maintenance. The month also emphasizes per-task replication and improved testing readiness.

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