At DreamVu.ai, I prepare and validate training data for computer-vision models through video-frame annotation, labeling, and dataset organization. I led a MediaPipe-based hand-labeling project and support day-to-day data workflows as a pilot for the annotation team.
I developed full-stack applications with Python and Flask during my Infosys Springboard internship, and assisted with machine-learning solutions at Edunet Foundation. In my projects, I built a gesture-controlled media player, a YOLO-based crowd-monitoring system, and HireLens AI for resume-job matching and interview preparation.
