
Avik Kapur developed autonomous navigation and frontend systems across InspirationRobotics/robosub_2025 and CSA_Combined_Frontend_Fork. He engineered state-machine-driven pole slalom missions for AUVs, integrating OpenCV-based computer vision and Python control logic to enable robust perception-to-action loops and distance-based navigation. His work included algorithmic improvements, API integration, and extensive bug fixing to enhance reliability and mission flexibility. On the frontend, Avik delivered interactive UI/UX features such as a recruiter-focused resume module and a leaderboard system, using JavaScript, CSS, and ES6 modules. His contributions demonstrated depth in both robotics and web development, emphasizing maintainability, modularity, and production readiness.

December 2025 Monthly Summary for CSA project: - Delivered a full end-to-end Leaderboard System in the CSA_Combined_Frontend_Fork repo, covering core functionality, UI, API integration, styling, and user interactions for scores and rankings. The feature is integrated into the game flow and ready for production-like testing. - Achieved stability through a series of fixes and refinements that culminated in a loaded, functional leaderboard.
December 2025 Monthly Summary for CSA project: - Delivered a full end-to-end Leaderboard System in the CSA_Combined_Frontend_Fork repo, covering core functionality, UI, API integration, styling, and user interactions for scores and rankings. The feature is integrated into the game flow and ready for production-like testing. - Achieved stability through a series of fixes and refinements that culminated in a loaded, functional leaderboard.
November 2025 performance summary for CSA_Combined_Frontend_Fork. Delivered key frontend enhancements and a new leaderboard, with cross-module sprite assets and UI polish driving improved user experience and engagement. No major bugs reported this period; stability and performance were enhanced through asset tuning and UI refinements. Demonstrated business value through visually appealing character selection, responsive UI, and a scalable leaderboard feature supporting competitive user interaction. Technologies/skills highlighted include advanced frontend animation, asset management across modules, and disciplined, commit-driven delivery.
November 2025 performance summary for CSA_Combined_Frontend_Fork. Delivered key frontend enhancements and a new leaderboard, with cross-module sprite assets and UI polish driving improved user experience and engagement. No major bugs reported this period; stability and performance were enhanced through asset tuning and UI refinements. Demonstrated business value through visually appealing character selection, responsive UI, and a scalable leaderboard feature supporting competitive user interaction. Technologies/skills highlighted include advanced frontend animation, asset management across modules, and disciplined, commit-driven delivery.
Concise monthly summary for Oct 2025 focused on delivering business-value enabled frontend features and UI/UX improvements in CSA_Combined_Frontend_Fork. Highlights include a recruiter-focused Introduction module, a broad UI/UX refresh for the resume section optimizing readability and navigation, and a lightweight character-selection interface for a game module with cleanup to improve UI performance. The work emphasizes modular design, responsive behavior on larger screens, and reduced asset load to enhance performance on typical recruiter workflows.
Concise monthly summary for Oct 2025 focused on delivering business-value enabled frontend features and UI/UX improvements in CSA_Combined_Frontend_Fork. Highlights include a recruiter-focused Introduction module, a broad UI/UX refresh for the resume section optimizing readability and navigation, and a lightweight character-selection interface for a game module with cleanup to improve UI performance. The work emphasizes modular design, responsive behavior on larger screens, and reduced asset load to enhance performance on typical recruiter workflows.
August 2025 monthly summary for InspirationRobotics/robosub_2025. Delivered key autonomous navigation enhancements focused on pole handling and distance-based control, resulting in more reliable missions and reduced operator intervention.
August 2025 monthly summary for InspirationRobotics/robosub_2025. Delivered key autonomous navigation enhancements focused on pole handling and distance-based control, resulting in more reliable missions and reduced operator intervention.
July 2025: Key features delivered, stability improvements, and enhanced testing readiness for InspirationRobotics/robosub_2025. Focused on movement API changes, more accurate distance computations, and parameterization to enable dynamic configuration. Established USB low-light support alignment, and addressed core logic bugs to improve determinism and reliability. Built a foundation for faster, safer mission execution and clearer interface contracts for downstream consumers.
July 2025: Key features delivered, stability improvements, and enhanced testing readiness for InspirationRobotics/robosub_2025. Focused on movement API changes, more accurate distance computations, and parameterization to enable dynamic configuration. Established USB low-light support alignment, and addressed core logic bugs to improve determinism and reliability. Built a foundation for faster, safer mission execution and clearer interface contracts for downstream consumers.
June 2025 monthly summary for InspirationRobotics/robosub_2025: Implemented end-to-end Pole Slalom Mission enabling autonomous navigation through a sequence of poles via a state-machine-based control flow and side-locking logic, tightly integrated with CV pole detection. Delivered a Pole Detection and Camera Input CV module for red and white pole detection using USB camera streams, with iterative enhancements and debug instrumentation. The work includes multiple commits that progressively hardened the perception-to-action loop and expanded camera support. No critical bugs reported; focus was on stabilizing CV pipelines and camera interfaces while enabling rapid iteration for pole-based tasks.
June 2025 monthly summary for InspirationRobotics/robosub_2025: Implemented end-to-end Pole Slalom Mission enabling autonomous navigation through a sequence of poles via a state-machine-based control flow and side-locking logic, tightly integrated with CV pole detection. Delivered a Pole Detection and Camera Input CV module for red and white pole detection using USB camera streams, with iterative enhancements and debug instrumentation. The work includes multiple commits that progressively hardened the perception-to-action loop and expanded camera support. No critical bugs reported; focus was on stabilizing CV pipelines and camera interfaces while enabling rapid iteration for pole-based tasks.
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