• 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