Computer Vision & Deep Learning | Machine Learning Engineer
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Developed an end-to-end PPE compliance monitoring system using YOLOv8 on a 3,000-image Construction Site Safety Dataset, achieving 93% detection accuracy. Deployed an AI-powered real-time PPE violation detection system across live video feeds from multiple concurrent camera streams. Engineered a real-time video processing pipeline with automated alerts, reducing violation response time to under 5 seconds, and built a live Streamlit analytics dashboard for site supervisors.
AI Intern — Workplace Safety Monitoring - Infosys SpringBoard 6.0 - Remote
(2025-08 - 2025-10)
B.Tech - Computer Science Engineering - Vellore Institute of Technology (2023 - 2027)