Worked on the mlflow/mlflow repository to enhance documentation for the GenAI evaluation feature, focusing on clarifying the availability of advanced options exclusive to Databricks. Used Python and technical writing skills to update the mlflow.genai.evaluate documentation, ensuring users understood which features required Databricks for deployment. This targeted improvement addressed a specific user confusion, reducing the risk of misconfiguration and supporting more accurate deployment planning. No code defects were addressed during this period, as the primary contribution centered on documentation quality. Demonstrated attention to detail and adherence to best practices in both Python development and open-source documentation standards.