Contributed to the AMMS (Automated Maintenance Management System) project by performing manual and automated black-box testing on cross-platform technical operations logging applications (web and iOS). Designed and implemented automated black-box test cases for a technical operations logging system on web and iOS platforms. Leveraged Python with Selenium and Appium to build a reusable and maintainable regression suite, enabling continuous validation of new features. Refactored test infrastructure to achieve a 92.5% runtime reduction for regression tests.

Contributed to the AMMS project by developing and maintaining automated test coverage for a technical operations logging system across web and iOS platforms. Improved test execution efficiency by optimizing iOS simulator configurations. Additionally, led a team of 11 interns in building the AJI-3320 organizational Wiki for the Air Traffic Safety Management Team, leveraging Confluence with integrated Jira workflows.

Provided academic support to Computer Science students in Programming I & II, delivering individualized tutoring in Java and Python to reinforce core programming concepts. Led 1-on-1 sessions across technical subjects, including physics-based programming, discrete mathematics, and calculus, adapting explanations to align with varied learning styles. Employed a range of teaching strategies and problem-solving techniques to promote engagement, deepen conceptual understanding, and support long-term academic success.

Led initial implementation of iOS automation for the AMMS project using Appium with Java, establishing a foundation for scalable mobile testing. Documented manual test coverage across web and iOS platforms. Co-led a cohort project, providing technical guidance on configuring and leveraging a virtualized Simulated Driver Radar Recorder (SDRR) environment.