Physics-trained. Robot-focused. Building intelligent agents that move, sense, and adapt — from robot kinematics to learned control policies. MSc AI at Edinburgh. Research at IIT Delhi & ISRO.
I'm a graduate AI researcher at the University of Edinburgh, specialising in Robotics and Reinforcement Learning. My undergraduate degree in Engineering Physics gave me a rigorous foundation in mathematics, signal processing, and dynamical systems — which I now apply to teaching robots how to move, perceive, and make decisions.
I'm drawn to embodied intelligence — agents that must act in the physical world under uncertainty. From processing satellite data at ISRO to computational ocean analysis at IIT Delhi, I've always worked at the edge of computation and physical systems. Robotics is where those worlds meet permanently.
I've built web apps, competed in science hackathons (Top 20 nationwide in XR-tech), and led teams. I believe the best engineers are curious generalists who execute with precision.
Writing incoming — on robot learning, RL from scratch, the physics intuition behind policy gradients, and what it actually takes to make machines move well.
Check back soon.
If you're working on robotics, robot learning, or RL — or you want someone who brings a physics and systems thinking background — I'd love to hear from you.