I am a Postdoctoral Scholar in the Department of Information Science and Technology at Pennsylvania State University. Previously, I worked with the Wildlife Institute of India and received my Ph.D. in Computer Science Engineering from Graphic Era University.

My research examines how AI, computer vision, and real-time data pipelines can decode complex ecological patterns to monitor and predict wildlife behavior and habitat dynamics, generating actionable insights for conservation. I focus on integrating multi-modal AI with spatio-temporal and geospatial intelligence to understand animal movement and assess human–wildlife conflict.

I enjoy seeing nature both up close in the field and through the lens of technology, bridging the tangible and digital worlds to better understand and protect the ecosystems around us. I now love teaching and sharing my research, even though I once shied away from it and rarely spoke up. I am always seeking new ways to connect people, technology, and nature.

My journey began in the quiet lanes of Bakainia Deep, a small village in Basti, Uttar Pradesh, India. I spent my formative years eagerly absorbing common villagers' issues, global perspectives, and political discourse at social gathering points like tea stalls, bonfire circles, and village chaupals. As the middle of five siblings, I stand at the heart of my family, a bridge between the wisdom of my elders and the aspirations of the younger ones, blessed with the full spectrum of sibling bonds. My childhood home sat at the very edge of the village, where our doorstep met the threshold of a small, vibrant forest patch. It was there that I served as the first, silent witness to the arrival of seasonal birds, a role that unknowingly planted the seeds for my future in ecological monitoring.

What if I told you that nature is constantly speaking to us. but we are not fully trained to understand its language? Think about it: every rustle in the undergrowth, the rhythmic shift in bird calls, the intricate paths of animal movements, and the slow, seasonal pulse of the landscape are not random occurrences. They are Signals 📡.

Everything in the wild follows a hidden pattern, a complex, living system operating behind the scenes. Yet, as humans, we have never been fully able to decode this grand algorithm on our own.

Can wildlife be understood using sensors and AI? By integrating multi-modal AI with geospatial intelligence, I aim to translate these natural signals into data we can finally read. Using AI, we can bridge the gap between human observation and the wild's secrets decoding the movement and behavior of species like elephants and swamp deer in real-time, transforming these whispers of the forest into a clear, actionable form of conservation intelligence, ensuring that technology serves as the ultimate translator for the silent ecosystems that raised me.