
During four months on proudnhello/CMPM171Project and GDACollab/Well-Witches, Brian Feng developed modular gameplay systems, robust scene management, and extensible AI behaviors using Unity and C#. He implemented a centralized save/load infrastructure with JSON serialization, ensuring persistent player and entity state across sessions, and introduced exception handling to improve data integrity during file operations. Brian enhanced AI pathfinding with NavMesh integration and delivered dynamic UI systems for health and announcements, supporting scalable player feedback. His work included asset management, procedural generation, and refactoring for maintainability, resulting in stable, testable features that improved gameplay reliability, development efficiency, and future extensibility.

April 2025: Stability and reliability improvements in proudnhello/CMPM171Project. Implemented robust exception handling in the entity-saving path to gracefully handle IO/serialization errors, preventing crashes and allowing the program to continue execution during persistence failures. This change reduces downtime and improves data integrity under fault conditions.
April 2025: Stability and reliability improvements in proudnhello/CMPM171Project. Implemented robust exception handling in the entity-saving path to gracefully handle IO/serialization errors, preventing crashes and allowing the program to continue execution during persistence failures. This change reduces downtime and improves data integrity under fault conditions.
March 2025 CMPM171Project: End-to-end persistence and gameplay polish. Implemented a centralized Save/Load infrastructure (SaveManager and SaveData) to persist player state, enemies, and foragables, with map seed handling for consistent world generation and a robust save/load workflow. Hardened the Spawn System and Loot Distribution to improve gameplay balance across rooms, including refined spawn locations, tile property adjustments, and loot drop logic. Fixed ImportEnemies bug to ensure correct enemy assignment from comma-separated inputs, improving reliability of imports. Delivered UI/UX improvements for New Game flow, Main Menu updates, tooltips, and audiovisual polish to enhance the player experience. Overall, these changes increase stability, data integrity, and playability, reducing friction for players and enabling faster QA and data-driven tuning across game sessions.
March 2025 CMPM171Project: End-to-end persistence and gameplay polish. Implemented a centralized Save/Load infrastructure (SaveManager and SaveData) to persist player state, enemies, and foragables, with map seed handling for consistent world generation and a robust save/load workflow. Hardened the Spawn System and Loot Distribution to improve gameplay balance across rooms, including refined spawn locations, tile property adjustments, and loot drop logic. Fixed ImportEnemies bug to ensure correct enemy assignment from comma-separated inputs, improving reliability of imports. Delivered UI/UX improvements for New Game flow, Main Menu updates, tooltips, and audiovisual polish to enhance the player experience. Overall, these changes increase stability, data integrity, and playability, reducing friction for players and enabling faster QA and data-driven tuning across game sessions.
February 2025 monthly summary focusing on key accomplishments across the CMPM171Project repository. Highlights include PC platform migration, AI pathfinding enhancements (to charger) with a spacer object, and navmesh integration for intermediate nodes, enabling robust path traversal. Additional delivery includes device-to-device transfer support to enable multi-device workflows and a test scene reorganization for maintainability, along with a flettus flight mechanic (flying lettuce) and Charlie integration supported by asset updates. Also delivered hopshroom and taterhop mechanics with idle/direction/animation fixes, contributing to richer gameplay interactions. These changes collectively improve platform parity, navigation reliability, gameplay richness, and development efficiency, while laying groundwork for future enemy behaviors and networked workflows. Technologies/skills demonstrated: Unity engine, NavMesh navigation, AI pathfinding, animation integration, asset management, and lightweight device-transfer concepts for multi-device workflows.
February 2025 monthly summary focusing on key accomplishments across the CMPM171Project repository. Highlights include PC platform migration, AI pathfinding enhancements (to charger) with a spacer object, and navmesh integration for intermediate nodes, enabling robust path traversal. Additional delivery includes device-to-device transfer support to enable multi-device workflows and a test scene reorganization for maintainability, along with a flettus flight mechanic (flying lettuce) and Charlie integration supported by asset updates. Also delivered hopshroom and taterhop mechanics with idle/direction/animation fixes, contributing to richer gameplay interactions. These changes collectively improve platform parity, navigation reliability, gameplay richness, and development efficiency, while laying groundwork for future enemy behaviors and networked workflows. Technologies/skills demonstrated: Unity engine, NavMesh navigation, AI pathfinding, animation integration, asset management, and lightweight device-transfer concepts for multi-device workflows.
January 2025 performance highlights for two projects (GDACollab/Well-Witches and proudnhello/CMPM171Project). Delivered modular, testable gameplay systems that streamline iteration, improve player feedback, and support scalable growth. The work focused on robust scene lifecycle management, dynamic UI feedback, and extensible enemy behaviors, driving faster QA cycles and clearer business value.
January 2025 performance highlights for two projects (GDACollab/Well-Witches and proudnhello/CMPM171Project). Delivered modular, testable gameplay systems that streamline iteration, improve player feedback, and support scalable growth. The work focused on robust scene lifecycle management, dynamic UI feedback, and extensible enemy behaviors, driving faster QA cycles and clearer business value.
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