Emme McDonald contributed to the FRC900/900RobotCode repository by developing two core features over two months, focusing on robotics and computer vision challenges. She integrated OV2311 camera calibration data using YAML and C++, streamlining the calibration workflow and improving robot vision accuracy by embedding intrinsic and extrinsic parameters directly into video streams. In the following month, she engineered a dynamic AprilTags recognition service in C++ and ROS, enabling runtime tag selection and reducing the need for rebuilds. Her work emphasized robust service development, runtime configurability, and system reliability, demonstrating depth in both camera calibration and flexible computer vision infrastructure.