Aomar focused on enhancing developer documentation for distributed training workflows in the ucb-bar/IsaacLab and NVIDIA/warp repositories. Over two months, he delivered targeted improvements using Markdown and RST, clarifying multi-GPU setup procedures and updating resource links to reduce onboarding friction. In IsaacLab, he detailed PyTorch Torchrun usage and JAX integration, providing practical examples and troubleshooting guidance to streamline distributed training. For NVIDIA/warp, he maintained the README to ensure users accessed the latest tutorials and examples. His work emphasized technical writing and documentation, addressing user pain points and improving support efficiency, though it did not involve direct code or bug fixes.