Over three months, Meoyoung Kim developed and stabilized advanced AI and gameplay systems for the NbcampUnreal/1st-Team2-Final-Project repository. He engineered scalable boss AI frameworks, custom logging, and underwater enemy behaviors using Unreal Engine Blueprints and C++. His technical approach emphasized maintainable code, robust debugging, and data-driven design, including enhancements to behavior trees, navigation, and animation pipelines. Kim addressed over forty bugs, improving combat reliability and AI state synchronization, while refactoring core systems for extensibility. By integrating asset management and post-processing effects, he delivered immersive player feedback and reduced runtime overhead, demonstrating depth in AI programming and component-based architecture.
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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