Worked on the mastra-ai/mastra repository to deliver an end-to-end UI enhancement for the Items tab badge, ensuring it accurately reflects the total number of items and experiments across the entire dataset rather than just the loaded rows. This update improved data accuracy and user experience by reducing confusion and aligning the interface with actual dataset metrics. The implementation involved React and TypeScript, focusing on frontend development and data aggregation logic. Commit-level traceability was maintained throughout the process, demonstrating attention to detail and reliability in code changes. The work enabled more informed, data-driven decision making for users interacting with the platform.