I am currently a PhD student in Computer Science at Stony Brook University, advised by Dr. Haibin Ling. My research focuses on object tracking, with the goal of making visual tracking easier and more robust for computers. I previously earned my Master's degree in Computer Science from Stony Brook University, where my thesis also concentrated on object tracking. Before my studies at Stony Brook, I completed my Bachelor's degree at IIT Indore and worked as a software developer at Amazon.
In parallel with my research, I am shaping a platform called UnifiedMonitoring.ai that explores how advanced vision AI can transform regular camera networks into intelligent monitoring and automation systems. The platform concept connects seamlessly to existing cameras and sensors, converting live video into structured, searchable data. Using state-of-the-art algorithms, it can detect people, vehicles, objects, behaviors, and interactions in real time for monitoring and automated control.
Beyond simple detections, the platform is designed to enable cross-camera automations that act in the physical world—such as alerting staff about intrusions, controlling devices on-site, or optimizing workflows in industrial and commercial environments. At the core is NcrossN, an automation framework envisioned to scale from single sites to entire cities, combining cutting-edge vision models, natural language pipeline creation, and edge-first architecture to deliver advanced real-world automation.
For additional context and insights, see the following blog posts:
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