Andgu contributed to the huggingface/torchtitan repository by developing comprehensive documentation that clarifies the use and impact of the TORCH_NCCL_AVOID_RECORD_STREAMS=1 environment variable in tensor parallelism workflows. Leveraging expertise in CUDA and PyTorch, Andgu explained how this setting affects memory usage and performance during distributed training, providing clear guidance on the associated trade-offs. The documentation, written in Markdown, addresses common misconfiguration risks and supports safer experimentation for developers working with tensor parallelism. While the work focused on documentation rather than code or bug fixes, it demonstrated a strong understanding of distributed systems and improved onboarding for new contributors.