• Developed an automated Python-based data pipeline for a suite of testing hardware, converting between data stores and formatting on arrival. Enabled rapid on-site processing and yielded $5000 in cost savings per test• Created a robust data analysis tool for test engineers in Python, processing HDF5 files to extract data and allow quick visualization, graph comparisons, and 50% faster test report generation• Built an internal web application with Python and JavaScript to document test plan edits by accepting user-input files and parsing data for anomalies. Ended the test team's weekly 3-hour manual review

• Developed a Python tool to collect and analyze data on the status of test plans and procedures by extracting metrics from technical documentation, delivering insightful analytics to stakeholders• Incorporated extracted data into the prototype test plan and other auxiliary documentation sources, passing the test plan through 2 Engineering Review Boards

- Contributed to QUEST, advancing a CubeSat-based Quantum Key Distribution testbed in low-earth orbit- Designed and optimized 12U CubeSat components using CAD software- Collaborated with the senior design team to enhance payload performance through mechanical design improvements