Worked on backend development for the neutrons/data_workflow repository, delivering a targeted performance and user experience improvement. Implemented a feature in Python that reduced the default timeframe for retrieving live runs from two hours to thirty minutes, allowing users to access more recent data and improving responsiveness in live-monitoring scenarios. The change was designed as a temporary, easily reversible adjustment, with clear rollback expectations and traceability through a single commit. Focused on balancing data freshness with system performance, the work demonstrated careful scoping and attention to maintainability, leveraging backend engineering skills to address specific workflow requirements without introducing new bugs.