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RitsukiObara

PROFILE

Ritsukiobara

Ritsuki Obara contributed to the RitsukiObara/GraduationTeam repository by developing and refining gameplay features, visual assets, and documentation over a four-month period. They implemented and optimized 3D models, particle systems, and animation sequences using C++ and DirectX, focusing on maintainable code organization and asset integration. Their work included enhancing multiplayer camera systems, balancing scoring mechanics, and improving UI and audio feedback to support both single-player and multiplayer modes. Ritsuki also consolidated project materials into a version-controlled archive and authored onboarding documentation, demonstrating a disciplined approach to asset management and knowledge transfer that improved project reliability and future maintainability.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

115Total
Bugs
15
Commits
115
Features
59
Lines of code
31,348
Activity Months4

Work History

February 2025

16 Commits • 2 Features

Feb 1, 2025

February 2025 — GraduationTeam (RitsukiObara/GraduationTeam). Delivered two key enhancements: Archive Materials Library Upgrade and Team Member Introduction Documentation. No major bugs fixed this month; focus was on material governance, accessibility, backups, and onboarding communications. Key business value: improved retrieval and reliability of project assets, enhanced documentation for onboarding and knowledge transfer, and clearer leadership communication. Technologies/skills demonstrated include asset consolidation under a version-controlled archive, documentation discipline, and cross-functional collaboration with iterative commits to stabilize deliverables.

January 2025

1 Commits • 1 Features

Jan 1, 2025

Concise monthly summary for 2025-01 focusing on business value and technical achievements for the GraduationTeam repository (RitsukiObara/GraduationTeam).

December 2024

43 Commits • 30 Features

Dec 1, 2024

December 2024 – GraduationTeam: Delivered a focused set of gameplay balance, stability, and polish improvements across single-player and multiplayer modes. Key outcomes include extending the combo window with Polar Bear scoring, adding a time-over mechanic with UI support, and a major stage overhaul with new BGM assets, complemented by targeted UI/audio refinements and asset optimization. The changes enhance player engagement, reduce crashes, and optimize resource usage, enabling faster iteration and more reliable cross-platform gameplay.

November 2024

55 Commits • 26 Features

Nov 1, 2024

November 2024 performance summary for RitsukiObara/GraduationTeam focusing on delivering high-fidelity visuals, engaging avatar interactions, and a more maintainable codebase. The month featured a strong push on texture, particle, and animation work across multiple characters and stages, with a number of bug fixes that stabilized motion and rendering. Key accomplishments include delivering texture integration for the Team Logo, enhancing ice and snow particle systems, and implementing multi-character animation improvements (penguin, albatross, polar bear) with refined ice interactions and multi-mode appearance. Stage textures and stage-select particles were added to improve UX during level navigation, alongside new albatross/ penguin/bear motions and a polar bear model added to the solution. A number of stability and bug fixes addressed setup, motion inconsistencies, and environment height calculations to reduce runtime issues and ensure consistent behavior across scenes. Technologies/skills demonstrated include: advanced particle systems, procedural texture integration, character animation sequencing and refinements, namespace-based refactoring of macros and ocean-related code, and asset pipeline coordination for stage and UI assets. The work delivered concrete business value by delivering visually compelling experiences, reducing motion/debug churn, and strengthening maintainability for future iterations.

Activity

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Quality Metrics

Correctness87.4%
Maintainability88.0%
Architecture83.0%
Performance83.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

3D Model DataCC++DataMotion DataTextdatatext

Technical Skills

3D Modeling3d modelingAnimationAnimation AdjustmentAnimation DataAnimation Data EditingAsset CreationAsset IntegrationAsset ManagementAsset OptimizationAudio EngineeringAudio IntegrationBug FixingC++Camera Systems

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

RitsukiObara/GraduationTeam

Nov 2024 Feb 2025
4 Months active

Languages Used

CC++DataMotion DataTextdatatext3D Model Data

Technical Skills

3D Modeling3d modelingAnimationAnimation AdjustmentAnimation DataAnimation Data Editing

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