Worked on the usdot-fhwa-stol/cdasim repository to improve the reliability and maintainability of the CARLA Python API integration. Addressed a key pain point in the setup process by removing brittle glob-based path logic and eliminating the need for specific egg or wheel file matching. This Python development effort focused on simplifying system configuration, resulting in fewer setup errors and reducing onboarding friction for new contributors. The change enhanced the maintainability of the simulation stack’s setup script, supporting faster environment setup and smoother integration workflows. The work demonstrated attention to long-term developer productivity and maintainability using Python and system configuration skills.