Set up a nightly pipeline that tracks thousands of test results across hardware platforms and sends automated reports
Automated the defect filing workflow — persistent failures get flagged, deduplicated, and filed with logs attached
Used LLMs to turn raw test logs into structured summaries with root cause and impact for faster triage
Led backend development of a Python-based AI math tutoring platform with concept mastery heatmaps and tailored problem summaries
Applied prompt engineering to enhance solution accuracy and integrated Firebase authentication with a Django backend for user and instructor settings management