I am a graduate researcher at Carnegie Mellon University, where my research focuses on building multimodal interfaces for human-exoskeleton interaction, building end-to-end, latency, resource and safety aware systems that can adapt to users through life.
I received my B.Tech. in Mechanical Engineering from the College of Engineering, Pune, and was a research intern at the University of British Columbia (Neuroplasticity, Imagery and Motor Behaviour Laboratory), where I built large-scale vision pipelines for upper-limb kinematics after stroke.
I am seeking full-time research positions in machine learning, artificial intelligence, and robotics research roles with availability from June 2026.
Multimodal, user-in-the-loop hip assistance: egocentric video and transcribed speech inform vision-language reasoning and structured controller updates for wearable deployment.
High-throughput analysis of post-stroke upper-limb reaching using commodity vision, with validation against laboratory motion capture and peer-reviewed clinical reporting.
Finetuned compact VLMs for speech- and vision-conditioned planning relevant to personalized assistive control.
Custom actuation, vision-based vein localization, and closed-loop integration for a bench-scale insertion workflow.
Locomotion imitation from motion-capture experts using adversarial reward inference and policy optimization.
Linear-quadratic regulation for balance of a simulated humanoid on a moving support surface.