Computer Science graduate passionate about building intelligent systems at the intersection of computer vision, machine learning, and full stack development. Based in Chennai, India.
Published
Projects
I'm a Computer Science graduate from SRM Valliammai Engineering College (CGPA 8.55), with a strong foundation in Java, Python, and modern web technologies.
My work lives at the intersection of AI and real-world impact — I've worked on systems for road safety, surveillance, and incident detection, all published at national and international conferences.
I thrive on turning complex problems into elegant solutions. Whether it's wiring up IoT sensors, training YOLO models, or crafting clean backend APIs — I bring curiosity and rigour to every layer of the stack.
AI-based system for detecting helmet violations and high-beam overuse using computer vision and IoT sensors. Integrated ANPR for automatic e-challan generation — connecting real-time detection to penalty workflows without human intervention.
Real-time pothole detection using YOLOv8 with depth estimation via MiDaS v3.1. Achieves an F1 score of 85 and integrates with Google Maps API for intelligent traffic rerouting based on road conditions.
ML-powered system to classify unusual incident videos, verify their authenticity, extract geolocation metadata, and automate email notifications with event details and media — a complete end-to-end incident pipeline.
Open to full-time roles, internships, and collaborations. Let's build something meaningful together.