
Worked on the Team302/2025Reefscape repository to deliver Limelight Usage Modes support, enabling explicit and flexible configuration of computer vision pipelines in robotics applications. Developed a LIMELIGHT_MODE enum in C++ to specify intended usage, such as APRIL_DETECTION, POSE_ESTIMATION, or MACHINE_LEARNING, and updated the DragonLimelight constructor to store and apply this parameter. This approach allowed for targeted tuning and reduced misconfigurations, improving reliability across embedded systems. The work demonstrated a focused application of computer vision and robotics skills, with changes documented for traceability and maintainability. No bugs were fixed during this period, reflecting a targeted feature development effort.
January 2025: Delivered Limelight Usage Modes support for Team302/2025Reefscape, enabling explicit, mode-based Limelight configurations. Introduced LIMELIGHT_MODE enum to specify usage (APRIL_DETECTION, POSE_ESTIMATION, MACHINE_LEARNING) and updated DragonLimelight constructor to store and apply the usage parameter. This enables targeted tuning, reduces misconfigurations, and improves reliability across the computer-vision pipeline.
January 2025: Delivered Limelight Usage Modes support for Team302/2025Reefscape, enabling explicit, mode-based Limelight configurations. Introduced LIMELIGHT_MODE enum to specify usage (APRIL_DETECTION, POSE_ESTIMATION, MACHINE_LEARNING) and updated DragonLimelight constructor to store and apply the usage parameter. This enables targeted tuning, reduces misconfigurations, and improves reliability across the computer-vision pipeline.

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