PurdueSIGGD/SIGGD-GAME-2025
Oct 2025 – Dec 2025
2 Months active
Languages Used
C#YAML
Technical Skills
C# scriptingUnitygame developmentshader programmingC# programmingquest design
Brian Liu
PROFILE
Brian Liu
Brian Liu contributed to the PurdueSIGGD/SIGGD-GAME-2025 repository by developing two core gameplay features over two months. He built a Vignette Effects System in Unity using C# and shader programming, enabling artist-driven post-processing visuals with user-triggered activation and consistent asset naming across the rendering pipeline. Brian also implemented a Quest Item Trigger on Pickup, centralizing event-driven logic so quest conditions respond immediately when items are collected, streamlining quest design and iteration. His work emphasized maintainability, performance, and extensibility, with disciplined use of Git for version control. No major defects were reported, reflecting a stable and well-tested codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
2,232
Activity Months2
Your Network
27 peopleShared Repositories
27
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Andrew CMember
amey-bhandariMember
Anon YmousMember
Callista KendallMember
DanielKLiu444Member
dzirviMember
yim54Member
Charles ChinMember
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a core quest-engine improvement by implementing Quest Item Trigger on Pickup for PurdueSIGGD/SIGGD-GAME-2025. This feature enables quest conditions to fire when items are picked up, empowering designers to craft dynamic quests without additional scripting and reducing iteration time. Commit e33d5266f76902c3ce3c33bd4dfc4808ce5fab10 (pickupstrategy) documents the change. Impact includes faster quest design, improved gameplay responsiveness, and a more maintainable event-driven quest system. No high-severity defects reported this month; emphasis on stability, test coverage, and future extensibility. Technologies/skills showcased include gameplay scripting, event-driven design, and disciplined Git-based development.
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered a core quest-engine improvement by implementing Quest Item Trigger on Pickup for PurdueSIGGD/SIGGD-GAME-2025. This feature enables quest conditions to fire when items are picked up, empowering designers to craft dynamic quests without additional scripting and reducing iteration time. Commit e33d5266f76902c3ce3c33bd4dfc4808ce5fab10 (pickupstrategy) documents the change. Impact includes faster quest design, improved gameplay responsiveness, and a more maintainable event-driven quest system. No high-severity defects reported this month; emphasis on stability, test coverage, and future extensibility. Technologies/skills showcased include gameplay scripting, event-driven design, and disciplined Git-based development.
December 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for PurdueSIGGD/SIGGD-GAME-2025: Delivered the Vignette Effects System, enabling artist-driven post-processing visuals via a user-triggered activation flow and integrated as a full-screen post-process material. Aligned scene asset naming to reliably support vignette visuals across the rendering pipeline, improving pipeline consistency and visual storytelling. Implemented with minimal impact to the core gameplay loop, establishing a foundation for future visual effects while maintaining performance budgets.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for PurdueSIGGD/SIGGD-GAME-2025: Delivered the Vignette Effects System, enabling artist-driven post-processing visuals via a user-triggered activation flow and integrated as a full-screen post-process material. Aligned scene asset naming to reliably support vignette visuals across the rendering pipeline, improving pipeline consistency and visual storytelling. Implemented with minimal impact to the core gameplay loop, establishing a foundation for future visual effects while maintaining performance budgets.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
C#YAML
Technical Skills
C# programmingC# scriptingUnitygame developmentquest designshader programming
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