Worked on the NVIDIA/TensorRT-LLM repository to enhance networking resilience by restoring IPv6 support in the server launch path, enabling seamless dual-stack operation for both IPv4 and IPv6 clients. Addressed a targeted issue in serve.py using Python, focusing on backend development and network programming to ensure reliable connectivity across diverse environments. Validated end-to-end compatibility, which reduced deployment friction and allowed broader client reach in IPv6-enabled settings. Leveraged a Git-based workflow for code changes and pull requests, demonstrating careful attention to cross-stack networking challenges and contributing to smoother deployments without introducing new features during the development period.