Yaswanth User

Built predictive models to forecast long-term paddy production using regional datasets and engineered data pipelines to produce accurate yield projections for agricultural planning.

Developed a computer vision pipeline to estimate lake water levels from CCTV footage, extracting frames and applying image processing and classification to enable real-time, non-intrusive water depth monitoring.

Developed UI components and backend REST API endpoints for a machine learning model suggestion system, integrating evaluation metrics and cloud deployment for scalable model selection.

Built the EonShift energy management application featuring Next.js frontend, Firebase-backed IoT data collection, and device-level energy monitoring to enable remote control and carbon footprint tracking.

Implemented microservices and AWS Lambda functions for an AI-enabled career guidance platform, improving scalability and reducing infrastructure overhead while enabling ATS scoring and video resume assessments.

Activities and societies: Projects: EonShift (energy monitoring), FinHub, computer vision lake water level estimation; Google Developers Student Clubs Design Lead; Hackathon participant and organizer.

Pursuing a Bachelor of Technology in Computer Science with coursework and projects focused on AI, ML, and full-stack development.

Completed intermediate (junior college) education with emphasis on science and computing preparatory coursework.

Completed secondary education with foundational coursework in mathematics and sciences.