During July 2025, contributed to the pytorch/FBGEMM repository by developing a feature that appends a timestamp to CSV export filenames, addressing the risk of overwriting benchmark data and improving reproducibility. This solution involved enhancing the existing data export logic in Python to automatically generate unique, date-time-stamped filenames for each benchmark run. By integrating this approach, the workflow now supports more reliable historical comparisons and simplifies audit trails for performance results. The work leveraged skills in benchmarking, data export, and file management, resulting in improved data integrity and traceability for benchmarking outputs without introducing breaking changes to existing processes.