Nethra Ranganathan developed an SEO-optimized documentation page for the LLM-as-a-Judge feature in the mlflow-website repository, focusing on improving discoverability and accessibility of this evaluation technique for large language models. Leveraging React for front end development and JavaScript for implementation, Nethra aligned the new page with existing documentation standards and quality practices. The work emphasized clear collaboration, with co-authorship and sign-offs, and addressed the need for better documentation to support developer adoption. While no bugs were fixed during this period, the contribution provided a solid foundation for future enhancements and improved the visibility of MLflow’s evaluation capabilities through targeted SEO optimization.