
Developed and delivered a first-person camera system with mouse-based control for the PurdueSIGGD/SIGGD-GAME-2025 repository, focusing on enhancing player immersion and interaction within the game environment. The implementation leveraged C# scripting and Unity’s input handling to provide smooth, real-time camera movement, establishing a robust foundation for future gameplay features. Throughout the month, attention centered on stabilizing the new camera system and preparing it for quality assurance feedback, rather than bug fixing. This work demonstrated proficiency in game development workflows, incremental Git-based delivery, and the integration of core gameplay mechanics using C# and Unity within a collaborative development setting.
October 2025: Delivered a first-person camera system with mouse-based control for PurdueSIGGD/SIGGD-GAME-2025, significantly enhancing immersion and player interaction. No major bugs fixed this month; focused on stabilizing the camera feature and preparing for QA feedback. Impact: stronger core gameplay feel and a solid foundation for future camera refinements; demonstrated proficiency in real-time input handling, camera control, and Git-based incremental delivery.
October 2025: Delivered a first-person camera system with mouse-based control for PurdueSIGGD/SIGGD-GAME-2025, significantly enhancing immersion and player interaction. No major bugs fixed this month; focused on stabilizing the camera feature and preparing for QA feedback. Impact: stronger core gameplay feel and a solid foundation for future camera refinements; demonstrated proficiency in real-time input handling, camera control, and Git-based incremental delivery.

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