PurdueSIGGD/SIGGD-GAME-2025
Sep 2025 – Dec 2025
4 Months active
Languages Used
C#XMLYAML
Technical Skills
C# scriptingDebuggingProject ConfigurationUnityanimationasset management
Pranav Sukesh
PROFILE
Pranav Sukesh
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
22Total
Bugs
1
Commits
22
Features
14
Lines of code
17,353
Activity Months4
Your Network
24 people
Work History
December 2025
5 Commits • 4 Features
Dec 1, 2025Month: 2025-12 summary for PurdueSIGGD/SIGGD-GAME-2025. Focused on delivering core gameplay presentation improvements and robust quest evaluation to accelerate content iteration and enhance player immersion. Completed four major capabilities that provide tangible business value: flexible terrain customization, immersive audio, refined visual feedback, and reliable quest outcomes. These updates establish a foundation for faster authoring cycles, improved player experience, and easier maintenance.
5 Commits • 4 Features
Dec 1, 2025Month: 2025-12 summary for PurdueSIGGD/SIGGD-GAME-2025. Focused on delivering core gameplay presentation improvements and robust quest evaluation to accelerate content iteration and enhance player immersion. Completed four major capabilities that provide tangible business value: flexible terrain customization, immersive audio, refined visual feedback, and reliable quest outcomes. These updates establish a foundation for faster authoring cycles, improved player experience, and easier maintenance.
December 2025
November 2025
2 Commits • 2 Features
Nov 1, 2025Monthly summary for 2025-11: Focused on delivering a robust quest system and timer mechanics for PurdueSIGGD/SIGGD-GAME-2025, with targeted bug fixes to improve stability and performance. This work lays the groundwork for data-driven quest content and timed challenges, enabling richer gameplay and easier future content expansion.
November 2025
2 Commits • 2 Features
Nov 1, 2025Monthly summary for 2025-11: Focused on delivering a robust quest system and timer mechanics for PurdueSIGGD/SIGGD-GAME-2025, with targeted bug fixes to improve stability and performance. This work lays the groundwork for data-driven quest content and timed challenges, enabling richer gameplay and easier future content expansion.
October 2025
9 Commits • 5 Features
Oct 1, 2025October 2025 performance: Delivered a cohesive set of gameplay and reliability improvements across combat, movement, item interactions, collision handling, and audio. These changes enable rapid feature iteration, improve player satisfaction through more responsive controls and richer interactions, and strengthen data persistence reliability. The work lays the groundwork for forthcoming content updates and reduces maintenance friction through more modular architectures and clearer interfaces.
9 Commits • 5 Features
Oct 1, 2025October 2025 performance: Delivered a cohesive set of gameplay and reliability improvements across combat, movement, item interactions, collision handling, and audio. These changes enable rapid feature iteration, improve player satisfaction through more responsive controls and richer interactions, and strengthen data persistence reliability. The work lays the groundwork for forthcoming content updates and reduces maintenance friction through more modular architectures and clearer interfaces.
October 2025
September 2025
6 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for PurdueSIGGD/SIGGD-GAME-2025. Focused on establishing a scalable codebase and gameplay foundation through core architecture, a state-machine-based movement system with Rigidbody physics, and a real-time input system. Delivered reusable patterns, environment readiness, and debugging-friendly Unity project setup, enabling faster iteration and more robust gameplay features. This work lays the groundwork for future mechanics and easier collaboration.
September 2025
6 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for PurdueSIGGD/SIGGD-GAME-2025. Focused on establishing a scalable codebase and gameplay foundation through core architecture, a state-machine-based movement system with Rigidbody physics, and a real-time input system. Delivered reusable patterns, environment readiness, and debugging-friendly Unity project setup, enabling faster iteration and more robust gameplay features. This work lays the groundwork for future mechanics and easier collaboration.
Activity
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Quality Metrics
Correctness86.4%
Maintainability81.8%
Architecture82.8%
Performance81.8%
AI Usage28.2%
Skills & Technologies
Programming Languages
C#XMLYAML
Technical Skills
C#C# ScriptingC# programmingC# scriptingDebuggingGame DevelopmentProject ConfigurationUI designUnityUnity Developmentanimationasset managementaudio engineeringdesign patternsgame development
Repositories Contributed To
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