
Worked on the MuskMalone/y3-gam repository over three months, focusing on onboarding and gameplay improvements in Unity. Delivered interactive tutorial painting features and enhanced scene alignment by integrating new assets and refactoring scene data for accurate object positioning. Implemented collision detection using C++ and Unity’s BoxCollider components, enabling physical interactions and smoother tutorial progression. Refined camera layouts and introduced debugging scenes to streamline QA and player onboarding. Addressed cross-level stability by fixing bugs, updating camera positions, and adding new environment models. Utilized C#, C++, and JSON to manage scene management, asset integration, and gameplay logic, resulting in more robust tutorials.
February 2025 monthly summary for MuskMalone/y3-gam: Focused on stability and polish across levels. Delivered cross-level scene adjustments, camera position updates, and new Level3 entities; implemented post-processing tweaks and added environment models to enhance visuals. Refined painting alignment and inventory tutorial logic to improve onboarding flow. Fixed critical bugs across levels, ensuring more consistent gameplay experience and reduced regression risk. Commit reference: 3d475d37f1febffbdb75e7a7ed0397ced647430e. Business value: smoother player experience, clearer tutorials, and more robust scene management.
February 2025 monthly summary for MuskMalone/y3-gam: Focused on stability and polish across levels. Delivered cross-level scene adjustments, camera position updates, and new Level3 entities; implemented post-processing tweaks and added environment models to enhance visuals. Refined painting alignment and inventory tutorial logic to improve onboarding flow. Fixed critical bugs across levels, ensuring more consistent gameplay experience and reduced regression risk. Commit reference: 3d475d37f1febffbdb75e7a7ed0397ced647430e. Business value: smoother player experience, clearer tutorials, and more robust scene management.
January 2025 (Month: 2025-01) focus: feature delivery and onboarding improvements for MuskMalone/y3-gam. The central effort this month was enhancing the Tutorial Level experience with collision detection, refined camera and layout, and the introduction of debugging and progression tooling. Refactoring was performed to support tutorial progression and provide clearer visual feedback, setting the stage for smoother onboarding and QA workflows.
January 2025 (Month: 2025-01) focus: feature delivery and onboarding improvements for MuskMalone/y3-gam. The central effort this month was enhancing the Tutorial Level experience with collision detection, refined camera and layout, and the introduction of debugging and progression tooling. Refactoring was performed to support tutorial progression and provide clearer visual feedback, setting the stage for smoother onboarding and QA workflows.
Monthly summary for MuskMalone/y3-gam (2024-11): Delivered the Tutorial Paintings feature with interactive objects, asset integration, and scene alignment, refactored scene data to ensure correct positioning and tagging of interactive objects, and fixed audio in the tutorial painting flow. This work enhances onboarding, player interaction, and asset pipeline, enabling reliable pickup interactions and scalable tutorial assets. Key outcomes include improved scene transforms, consistent world coordinates, and reusable assets for future tutorials. Technologies demonstrated include asset integration pipelines, scene graph transforms, data-driven scene refactoring, and robust interactive object tagging.
Monthly summary for MuskMalone/y3-gam (2024-11): Delivered the Tutorial Paintings feature with interactive objects, asset integration, and scene alignment, refactored scene data to ensure correct positioning and tagging of interactive objects, and fixed audio in the tutorial painting flow. This work enhances onboarding, player interaction, and asset pipeline, enabling reliable pickup interactions and scalable tutorial assets. Key outcomes include improved scene transforms, consistent world coordinates, and reusable assets for future tutorials. Technologies demonstrated include asset integration pipelines, scene graph transforms, data-driven scene refactoring, and robust interactive object tagging.

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