I built the data pipeline for the DepEd Enrollment Data Dashboard, helping clean multi-year enrollment data and aggregate it by school in per-year SQLite tables. I served the data through a filterable Flask and Dash dashboard for a simulated Department of Education client.
For my undergraduate thesis, Mangofy, I led a team of four building a field-based system to detect anthracnose in mango leaves. I built the Raspberry Pi application backend, and the system received a 4.40 out of 5 ISO/IEC 25010 field-validation rating.
At DataAnnotation, I evaluate AI coding-agent outputs for errors and ambiguous requirements, working with Bash and Docker. My training includes data wrangling, supervised learning, and model evaluation through the University of Tokyo’s GCI program.
