Worked on the OpenHUTB/nn repository to establish a robust foundation for simulation-based autonomous driving projects. Focused on maintainability and reproducibility, the work included comprehensive documentation improvements for the Dual-Arm Simulation, adding detailed module, class, and method explanations with Google-style docstrings and type annotations. Standardized environment setup by introducing requirements.txt files across multiple subsystems, including CARLA-based simulations, to ensure consistent dependency management. Leveraged Python, PyTorch, and TensorFlow to support computer vision and deep learning workflows. The approach emphasized clear onboarding and collaboration, laying groundwork for future development without introducing functional code changes or bug fixes during this period.