Developed and delivered a feature for the mlflow/mlflow repository that introduced visibility controls to the Evaluation Runs chart view, allowing users to toggle which runs are displayed based on criteria such as the first 10 or 20 runs, hiding finished runs, or showing all runs. This enhancement was implemented using React and focused on improving the user experience by reducing chart noise and making evaluation data more accessible. The work involved tight integration with the existing charting UI and adhered to project UX and analytics goals. JavaScript and TypeScript were used to ensure robust, maintainable front end development throughout the process.