About
I am an AI Engineer passionate about building intelligent Computer Vision and Deep Learning solutions that solve real-world industrial challenges. Currently, I work on Central Government railway automation projects, contributing to the development of Machine Vision Inspection Systems (MVIS) and Automatic Train Examination Systems (ATES) for railway safety, monitoring, and predictive maintenance. My expertise includes Computer Vision, OCR, Object Detection, Anomaly Detection, Video Analytics, and Image Processing. I have developed and deployed AI solutions capable of operating in real-time environments, achieving over 95% accuracy using YOLO-based and hybrid neural network architectures. I have worked extensively on detecting railway component defects, extracting information through OCR systems, and building automated inspection pipelines for high-speed train monitoring. I am experienced in designing end-to-end AI workflows, from data collection and annotation to model training, optimization, deployment, and production monitoring. My work also involves implementing PaDiM-based anomaly detection models, optimizing inference performance, and deploying AI applications on NVIDIA Jetson edge devices for low-latency industrial environments. Beyond AI model development, I have hands-on experience with backend development, database integration, industrial camera systems, networking infrastructure, and large-scale image and video processing pipelines. I enjoy working at the intersection of Artificial Intelligence, Edge Computing, and Industrial Automation to build scalable, reliable, and production-ready solutions. My technical interests include: 🔹 Computer Vision & Deep Learning 🔹 OCR & Document Intelligence 🔹 Object Detection & Tracking 🔹 Anomaly Detection & Predictive Maintenance 🔹 Video Analytics & Image Processing 🔹 Edge AI & NVIDIA Jetson Deployment 🔹 Generative AI & Large Language Models 🔹 Backend Development & Database Systems 🔹 Industrial Automation & Railway Technology I am always eager to learn emerging technologies, collaborate on innovative projects, and contribute to building AI-driven systems that create measurable impact.
