As a passionate Computer Vision Engineer, I leverage AI to enhance urban mobility and safety. My work involves developing and optimizing efficient and fast AI traffic system analysis. In cities like Bengaluru, Mumbai, and Noida, we install cameras to monitor traffic in real-time, processing video footage to accurately count and classify vehicles and pedestrians, including cars, buses, trucks, autos, bikes, and people. This helps understand traffic patterns, reduce congestion, and improve urban planning. Previously at HCL,At HCL, I developed an internal Employee Virtual Assistant chatbot using generative AI and LLMs, leveraging NLP and OCR for data extraction, vector embeddings with Milvus for efficient retrieval, a semantic search engine for contextual response matching, and GPT-4 for answer generation, ensuring continuous improvement with security and privacy compliance. In addition to my professional experience, I served as a Teaching Assistant in Jodhpur for two years, creating and evaluating assignments in machine learning, deep learning, image processing, and computer vision, and assisting students with their queries. During my internship at Getout System, I worked in the document intelligence field, further honing my skills in real-world applications of computer vision. At Tata Consultancy Services, I worked full-time in data science and machine learning, contributing to various projects and advancing my expertise in these fields. As an NPTEL topper in the database course, I continuously strive for excellence and stay updated with the latest advancements in technology. I am proud to contribute to the creation of smarter cities and improved operational efficiency through advanced computer vision techniques and innovative AI solutions. #ComputerVision #AI #TrafficAnalysis #SmartCities #UrbanMobility #MachineLearning #TechInnovation #DataScience