I'm a Masters Student in Robotics Engineering at the University of Maryland, College Park(UMD). During the summer of 2019, I interned at Aeva Inc, Mountain View in the Perception team. I am currently a Research Assistant in the Robotics Algorithms and Autonomous Systems Lab at the University of Maryland, advised by Dr. Pratap Tokekar. I work on implementing robust localization using sensor fusion for precise mapping of bridges from UAVs. I was previously a Research Assistant in the Perception and Robotics Group (PRG) at the University of Maryland. My research interest is in perception for autonomous robots. I also write about my technical projects on my blog.

I did my undergrad in Instrumentation and Control Engineering at Nirma University, Ahmedabad where I worked with Prof. Sandip Mehta and Dr. Dilip Kothari. Previously I worked at Mu sigma Inc., Bangalore as a Trainee Decision Scientist.

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Perception Intern

Aeva Inc., Mountain View (May 2019 - August 2019)

Quantifying object tracking and detection in the perception pipeline of Aeva Lidar package. Implemented and integrated end to end metrics to set benchmarks for tracker and classifier improvements.

Research Assistant

RAAS Lab, University of Maryland (August 2019 - Current)

I am currently a Research Assistant in the Robotics Algorithms and Autonomous Systems Lab at the University of Maryland, advised by Dr. Pratap Tokekar. Currently working on deploying perception pipeline for UAV based bridge infrastructure inspection. The sensor module includes a 3D Lidar (VLP-16), ZED Camera and IMU.

Research Assistant

Computer Vision Lab, University of Maryland (August 2018 - May 2019)

Implementation of supervised deep learning models for optical flow for use on edge inference devices such as Intel Neural Compute Stick.
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Trainee Data Scientist

Mu Sigma Inc., Bangalore (July 2017 - March 2018)

I have also worked as a Trainee Data Scientist at Mu Sigma Inc., Bangalore, primarily focusing on implementing basic forecasting techniques like ARIMA model for company sales data.