I’m a first-year PhD student in Robotics at the University of Utah, where I am a part of the ARIA Lab advised by Prof. Daniel S Brown. My research lies at the intersection of embodied intelligence, multi-agent reinforcement learning, and swarm robotics. I am particularly interested in developing methods that enable groups of embodied robots to coordinate, adapt, and exhibit intelligent behaviors. Through this work, I aim to advance the broader vision of AI for embodied robots—systems that seamlessly integrate learning, perception, and control to operate in complex real-world environments.

Before starting my PhD, I completed my Master’s degree in Electrical Engineering at the University of Utah, also focusing on robotics, where I worked under the guidance of Prof. Daniel S Drew. My Master’s work strengthened my foundations in both the theoretical and practical aspects of robotics, spanning topics such as motion planning, control, and robot perception. Earlier, I earned my undergraduate degree in Electronics and Communication Engineering at NMIT,India, which gave me a strong background in systems, electronics, and embedded programming, and motivated me to pursue robotics at a deeper level.

In addition to research, I have been actively engaged in teaching and mentoring. During my Master’s, I served as a Teaching Assistant for a Circuits class, and in my PhD, I Worked as a Teaching Assistant for the Robot Motion Planning course, supporting instruction, assignments, and student guidance. These experiences have been valuable opportunities to help students build intuition for both low-level system design and high-level decision-making in robotics.

Outside of research, I pursue interests that keep me both active and inspired. I am passionate about cars and motorcycles, whether it’s spotting rare models or riding superbikes. I stay engaged in sports through badminton, after years of playing basketball, and I often spend weekends kayaking or go-karting. These activities give me a mix of adventure, creativity, and balance beyond academia.