Soumili Nandi focused on improving documentation accuracy and test reliability across the NVIDIA/NeMo-Agent-Toolkit and langchain-ai/langchain-nvidia repositories. She addressed a documentation issue by updating the evaluation configuration parameter to reflect its intended use, reducing user confusion and setup errors. In the langchain-nvidia test suite, she refined error handling by shifting from raising a ValueError to issuing a UserWarning for unknown chat models, aligning test expectations with real-world usage. Her work leveraged Python and Markdown, emphasizing integration testing and robust error handling. These targeted changes enhanced developer experience, reduced CI noise, and contributed to more consistent cross-repository configuration semantics.