Ryan Guinn developed autonomous path planning enhancements for the FRC1732/2025-1732Bot repository, focusing on a 4-piece auto strategy with multiple intermediate paths. He updated TunerConstants.java in Java to reflect new robot dimensions and module positions, ensuring improved path-following accuracy and hardware alignment. By revising swerve constants and updating vendor libraries, Ryan enabled the path planner to support more flexible and scalable autonomous routines. His work in configuration management and robotics reduced autonomous setup time and increased reliability under match conditions, demonstrating depth in autonomous programming and thoughtful integration of hardware and software for future event scalability.