Priya Menon

Priya earned a B.Tech. in Computer Science from NIT Calicut and an M.S. in AI from the University of Illinois Urbana-Champaign. She built ML platforms—feature stores, experiment tracking, reproducible pipelines—and learned how teams actually adopt them when deadlines loom. That empathy shows up in her writing on collaboration between data scientists, engineers, and PMs. She focuses on dataset stewardship, fairness reviews that fit sprint cadence, and the small cultural shifts that make ML less brittle. Priya mentors women moving from QA to MLOps, publishes templates for experiment hygiene, and guest lectures on the social impact of data work. Weekends are for Bharatanatyam practice, monsoon hikes, and perfecting dosa batter ratios that her friends keep trying to steal.