
Carl Bowne developed core gameplay systems and editor tooling for the CBowneUCF/RageRooster repository, focusing on scalable architecture and maintainable code. Over seven months, he delivered features such as a modular player movement system, a unified singleton framework, and robust save and scene management, all implemented in C# within the Unity engine. His work included refactoring legacy code, introducing object pooling for performance, and enhancing UI and level design workflows through custom editor scripting. By consolidating data models and standardizing architectural patterns, Carl improved reliability, iteration speed, and future extensibility, demonstrating depth in software architecture, state machine design, and Unity development.
February 2026 monthly performance for CBowneUCF/RageRooster focused on UI robustness, gameplay state management, and code maintainability. Delivered user-facing UI improvements, smoother cross-state actions, enhanced interaction mechanics, and a modularized movement subsystem, setting a solid foundation for upcoming features and QA.
February 2026 monthly performance for CBowneUCF/RageRooster focused on UI robustness, gameplay state management, and code maintainability. Delivered user-facing UI improvements, smoother cross-state actions, enhanced interaction mechanics, and a modularized movement subsystem, setting a solid foundation for upcoming features and QA.
November 2025 — RageRooster (CBowneUCF/RageRooster): Focused delivery of editor-time level design tooling to improve authoring throughput and gameplay pacing. Enhancements enable designers to create and configure spawn points and room entrances directly in the Unity editor, reducing handoffs between design and implementation and enabling rapid iteration.
November 2025 — RageRooster (CBowneUCF/RageRooster): Focused delivery of editor-time level design tooling to improve authoring throughput and gameplay pacing. Enhancements enable designers to create and configure spawn points and room entrances directly in the Unity editor, reducing handoffs between design and implementation and enabling rapid iteration.
Summary for 2025-10: Delivered a set of performance-focused features and system enhancements across RageRooster, driving memory efficiency, data integrity, and gameplay polish. The month focused on robust architectural improvements and extensibility to support future content with clearer data modeling and smoother UX.
Summary for 2025-10: Delivered a set of performance-focused features and system enhancements across RageRooster, driving memory efficiency, data integrity, and gameplay polish. The month focused on robust architectural improvements and extensibility to support future content with clearer data modeling and smoother UX.
September 2025 (2025-09) Monthly Summary for RageRooster: - Delivered key system overhauls that significantly improve game stability, editor workflows, and long-term maintainability. These changes lay a stronger foundation for future features and faster iteration cycles within the dev team, while also enhancing player experience through more reliable save and transition flows.
September 2025 (2025-09) Monthly Summary for RageRooster: - Delivered key system overhauls that significantly improve game stability, editor workflows, and long-term maintainability. These changes lay a stronger foundation for future features and faster iteration cycles within the dev team, while also enhancing player experience through more reliable save and transition flows.
August 2025 (2025-08) performance review for CBowneUCF/RageRooster. Focused on delivering core gameplay enhancements and editor/UI improvements with an emphasis on stability, performance, and scalable architecture. Achievements center on a modular movement system overhaul and comprehensive room/area UI refinements that enable finer control, faster iteration, and improved level streaming.
August 2025 (2025-08) performance review for CBowneUCF/RageRooster. Focused on delivering core gameplay enhancements and editor/UI improvements with an emphasis on stability, performance, and scalable architecture. Achievements center on a modular movement system overhaul and comprehensive room/area UI refinements that enable finer control, faster iteration, and improved level streaming.
July 2025 performance summary focused on architectural standardization of singleton management across the RageRooster project. Implemented a Unified Singleton Architecture to align core patterns, enabling consistent lifecycle handling, easier testing, and scalable foundations for future features.
July 2025 performance summary focused on architectural standardization of singleton management across the RageRooster project. Implemented a Unified Singleton Architecture to align core patterns, enabling consistent lifecycle handling, easier testing, and scalable foundations for future features.
June 2025 monthly summary for CBowneUCF/RageRooster: Delivered HSMMigrationHelper, a Unity state machine version migration tool, to enable safer upgrades by adding new components based on existing references and reducing migration risk. A follow-up refactor introduced an add-versions method and updated data structures to streamline associating machines with helpers, improving migration reliability and maintainability. No explicit major bug fixes were reported this month; the focus was on delivering a robust migration tool and laying groundwork for future migrations. Tech stack and skills demonstrated include Unity/C#, state machine design, and data-structure-driven tooling.
June 2025 monthly summary for CBowneUCF/RageRooster: Delivered HSMMigrationHelper, a Unity state machine version migration tool, to enable safer upgrades by adding new components based on existing references and reducing migration risk. A follow-up refactor introduced an add-versions method and updated data structures to streamline associating machines with helpers, improving migration reliability and maintainability. No explicit major bug fixes were reported this month; the focus was on delivering a robust migration tool and laying groundwork for future migrations. Tech stack and skills demonstrated include Unity/C#, state machine design, and data-structure-driven tooling.

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