Jeongchan Hyo contributed to the NbcampUnreal/2nd-Team6-Final-Project repository by developing and refining core gameplay systems, including a stamina-based dash mechanic, a parry system with integrated animation assets, and a scalable AI and monster framework. Using C++, Unreal Engine Blueprints, and data-driven asset management, Jeongchan implemented features such as behavior trees for AI, animation retargeting, and robust skill systems, while also addressing collision handling and combat balancing. Their work emphasized maintainability and rapid iteration, resolving critical bugs and enhancing player feedback. The depth of engineering included asset migration, configuration management, and the creation of extensible systems for future gameplay expansion.
June 2025 monthly summary for NbcampUnreal/2nd-Team6-Final-Project focusing on delivering features, fixing critical bugs, and enabling scalable future work. Key business value delivered includes improved player feedback, more robust AI and monster system, and a data-driven architecture enabling rapid iteration across gameplay, AI behavior, and boss encounters.
June 2025 monthly summary for NbcampUnreal/2nd-Team6-Final-Project focusing on delivering features, fixing critical bugs, and enabling scalable future work. Key business value delivered includes improved player feedback, more robust AI and monster system, and a data-driven architecture enabling rapid iteration across gameplay, AI behavior, and boss encounters.
Performance summary for May 2025 (NbcampUnreal/2nd-Team6-Final-Project): Delivered critical gameplay features, AI/state improvements, asset expansion, and stability fixes that directly enhance player engagement and maintainability. Notable work includes a stamina-integrated Dash System with tilt-based movement and tick handling, a new Parry System with accompanying animations and data assets, and substantial AI/monster system enhancements including separated AI status, refined state transitions, and Behavior Tree testing. Expanded the monster ecosystem with skeletal assets, monster classes, ranged skeleton, and updated skill/system integrations. Additionally, targeted bug fixes improved reliability and consistency, including Dash behavior revert and restoration of lost functionality, as well as preventing cross-monster targeting.
Performance summary for May 2025 (NbcampUnreal/2nd-Team6-Final-Project): Delivered critical gameplay features, AI/state improvements, asset expansion, and stability fixes that directly enhance player engagement and maintainability. Notable work includes a stamina-integrated Dash System with tilt-based movement and tick handling, a new Parry System with accompanying animations and data assets, and substantial AI/monster system enhancements including separated AI status, refined state transitions, and Behavior Tree testing. Expanded the monster ecosystem with skeletal assets, monster classes, ranged skeleton, and updated skill/system integrations. Additionally, targeted bug fixes improved reliability and consistency, including Dash behavior revert and restoration of lost functionality, as well as preventing cross-monster targeting.
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