About

I’m a Machine Learning Engineer at Wayve, working on pretraining. I was a Computer Vision Engineer at Path Robotics, where I worked on end-to-end manipulation for autonomous manufacturing robots and large-scale vision systems for autonomous welding robots.

I graduated from Carnegie Mellon University where I worked on robot learning. I was advised by Prof. Daniel Seita and Prof. David Held in the Robots Perceiving and Doing Lab, which is a part of the Robotics Institute. I worked on bimanual manipulation, grasping and using GANs for synthetic data generation.

I was a Research Intern at Intel Labs, in the Silicon and Systems Prototyping Labs, where I worked on SLAM. I worked on pose estimation, sparse map storage and retrieval, trajectory prediction and visual feature extraction.

Prior to grad school, I did research at the Indian Institute of Science (IISc), working on multi-robot path-planning, with Prof. Debasish Ghose in the Aerospace Engineering Department.

I interned at the Theoretical Ecology and Evolution Laboratory at IISc, advised by Prof. Vishwesha Guttal, where I worked on multi-robot systems. I also interned at the Center for Systems Design at the National Institute of Technology - Surathkal, advised by Prof. KV Gangadharan, where I worked on imitation learning for autonomous vehicles.

I’m deeply passionate about the outdoors and their conservation. I’ve worked with ecologists from Columbia University, Nature Conservation Foundation and Panthera. These projects have helped shape policy work around wildlife monitoring in human conflict zones and analyzing threats to global biodiversity hotspots: [1], [2], [3], [4], [5], [6]

I am currently exploring robot manipulation using dense 3D features and scaling up (pre-)training for robot learning.

If you’re interested in robotics, pretraining, vision or conservation, please get in touch!