I built MotorGuard, an IoT predictive maintenance system that monitors industrial motors using sensor data and generates alerts from thresholds and vibration trends.
Its Spring Boot REST backend stores readings in PostgreSQL, while ESP32 firmware collects sensor data and a React dashboard displays motor status and alerts.
For a university DBMS course project, I built a full-stack e-commerce platform with seven Spring Boot microservices, Stripe payment integration, and JWT-based authentication.
At Outlier, I evaluate AI model outputs for accuracy, relevance, instruction-following, and other quality criteria, documenting issues with evidence-based feedback.
