About me

I am a Robotics and Visual Computing Researcher at Nokia Bell Labs. I work primarily on robot perception and planning. My general research interests lie in the learning algorithms, deep learning in particular, and their applications in robotics perception and planning.

I obtained my PhD in from the University of Maryland, College Park, advised by Dr. Pratap Tokekar. My dissertation focused on Enhanced Robot Planning and Perception through Environment Prediction. You can read the dissertaion here and watch my PhD defense here.

I completed my MTech and BTech in 2017 from IIT Kharagpur in Electronics and Electrical Communication Engineering, specializing in Visual Information and Embedded Systems. I also earned a minor in Computer Science and Engineering. At IIT Kharagpur, I conducted research with Dr. Amrith Krishna and Dr. Pawan Goyal in word segmentation and poetry-to-prose conversion for Sanskrit. Before joining the PhD program, I worked for two years at American Express India with the Machine Learning and Data Science Team to build and leverage deep learning for credit and fraud risk management.

This summer I interned with Nokia Bell Labs, working on local planning problems with my mentors Dr. Matthew Andrews and Jeongran Lee. Previous summer I was supported by Kulkarni Foundation Summer Research Fellowship for research work at UMD. In the summer 2021, I interned at Comcast with the Applied AI for CX team on improving the maintenance truck scheduling with learning techniques. Prior to joining the PhD program, I interned with American Express in 2015 with the Commerce Data Science team and with FlytBase Labs (formerly NavStik Labs) in 2016.