Utilized Python, including the Pandas and Numpy libraries, to reconstruct PeacLab's data center simulator. This simulator is designed to test and optimize power-matching algorithms, to reduce power consumption in high-performance computing. This position taught me in-depth knowledge of software design principles and rigorous testing practices, improving the simulator’s effectiveness and reliability.

Utilized Google Ads Query Language to diagnose and present customer issues to customer-facing teams. Migrated device-specific boost calculations to Python, cutting runtimes from over 24 hours to 20 minutes. Then validated and refined the product through comprehensive testing against its previous iteration.

Worked for two summers in the same position.