During February 2025, Nikhil Shah updated the Model Performance Data documentation in the portal-cornell/robotouille repository, focusing on integrating the latest performance metrics for Qwen2-72B-Instruct and Meta-Llama-3.1-70B-Instruct models. He used Markdown to revise the README, ensuring that new model integrations and their benchmark scores were clearly presented for stakeholders. This documentation effort improved transparency around model readiness, supporting faster evaluation and deployment decisions. Nikhil applied best practices in technical documentation and Git version control, resulting in more accessible onboarding materials and better cross-team alignment. The work was targeted, with depth in benchmarking data interpretation and presentation.