
Alo Yang developed core gameplay and engine systems for the Fleuriel/Boof-Woof repository, focusing on 3D pathfinding, physics integration, and AI behavior. Using C++ and OpenGL, Alo refactored the physics system for stability, introduced BoxShape support, and implemented real-time collision editing and serialization for persistent scenes. He built a configurable pathfinding system with editor integration, enabling reliable AI navigation and dynamic enemy behaviors. Through iterative debugging and code cleanup, Alo improved camera controls, player movement, and enemy chase logic, while enhancing production reliability by suppressing debug output. The work demonstrated depth in system design, maintainability, and cross-disciplinary technical skills.

April 2025 performance summary for Fleuriel/Boof-Woof focusing on AI/tuning and release engineering. Delivered key enhancements to Rex enemy behavior and production debugging workflows, driving a smoother player experience and faster post-release iterations.
April 2025 performance summary for Fleuriel/Boof-Woof focusing on AI/tuning and release engineering. Delivered key enhancements to Rex enemy behavior and production debugging workflows, driving a smoother player experience and faster post-release iterations.
In March 2025, the Fleuriel/Boof-Woof project delivered a robust set of gameplay fidelity improvements and stability fixes that collectively boost player experience and reliability of core systems. The work focused on physics correctness, camera consistency, and navigation AI, enabling a smoother, more believable world while reducing edge-case bugs during play and startup.
In March 2025, the Fleuriel/Boof-Woof project delivered a robust set of gameplay fidelity improvements and stability fixes that collectively boost player experience and reliability of core systems. The work focused on physics correctness, camera consistency, and navigation AI, enabling a smoother, more believable world while reducing edge-case bugs during play and startup.
February 2025 monthly summary focusing on navigation, perception, and physics improvements for Fleuriel/Boof-Woof, with release-ready code hygiene. Highlights include a comprehensive pathfinding overhaul, physics and collision stability, enhanced AI perception through raycasting, and proactive release cleanup that improves reliability and maintainability.
February 2025 monthly summary focusing on navigation, perception, and physics improvements for Fleuriel/Boof-Woof, with release-ready code hygiene. Highlights include a comprehensive pathfinding overhaul, physics and collision stability, enhanced AI perception through raycasting, and proactive release cleanup that improves reliability and maintainability.
January 2025 monthly summary for Fleuriel/Boof-Woof highlights key technical deliverables and business impact. The team focused on making pathfinding reliable and editor-friendly, while stabilizing core locomotion behavior. Overall, the month delivered a configurable pathfinding system, improved debugging workflows, and a critical bug fix that prevents unintended double jumps, enabling more predictable gameplay and faster iteration.
January 2025 monthly summary for Fleuriel/Boof-Woof highlights key technical deliverables and business impact. The team focused on making pathfinding reliable and editor-friendly, while stabilizing core locomotion behavior. Overall, the month delivered a configurable pathfinding system, improved debugging workflows, and a critical bug fix that prevents unintended double jumps, enabling more predictable gameplay and faster iteration.
December 2024 monthly summary for Fleuriel/Boof-Woof: focused on establishing foundational 3D pathfinding support and laying groundwork for AI navigation. Delivered a skeleton PathfindingSystem integrated into EngineCore, enabling future A* path calculations, with basic grid setup, start/goal points, and lifecycle hooks. This work creates a solid platform for NPC navigation, testing, and subsequent optimization. No major bugs fixed this month; ongoing work to implement the full pathfinding algorithms and testing.
December 2024 monthly summary for Fleuriel/Boof-Woof: focused on establishing foundational 3D pathfinding support and laying groundwork for AI navigation. Delivered a skeleton PathfindingSystem integrated into EngineCore, enabling future A* path calculations, with basic grid setup, start/goal points, and lifecycle hooks. This work creates a solid platform for NPC navigation, testing, and subsequent optimization. No major bugs fixed this month; ongoing work to implement the full pathfinding algorithms and testing.
Monthly summary for Fleuriel/Boof-Woof (Month: 2024-11). The work focused on stabilizing the physics pipeline, expanding serialization for persistence, and enhancing editor tooling and debugging capabilities. Deliveries improved stability and predictability of in-scene physics, enabled scene and object data persistence, and provided real-time visualization and controls to accelerate iteration.
Monthly summary for Fleuriel/Boof-Woof (Month: 2024-11). The work focused on stabilizing the physics pipeline, expanding serialization for persistence, and enhancing editor tooling and debugging capabilities. Deliveries improved stability and predictability of in-scene physics, enabled scene and object data persistence, and provided real-time visualization and controls to accelerate iteration.
October 2024 performance summary for Fleuriel/Boof-Woof: Delivered a major refactor of the physics system initialization and entity body management, introducing BoxShape as the standard for physics bodies and aligning updates with entity transformations. This work enhances integration with the Jolt physics engine, improves runtime stability, and reduces maintenance overhead for physics-related features.
October 2024 performance summary for Fleuriel/Boof-Woof: Delivered a major refactor of the physics system initialization and entity body management, introducing BoxShape as the standard for physics bodies and aligning updates with entity transformations. This work enhances integration with the Jolt physics engine, improves runtime stability, and reduces maintenance overhead for physics-related features.
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