Work Experience
Research Engineer - Computer Vision,
Magna New Mobility (Troy, MI)
Currently working with the Computer Vision team on improving vision systems for Autonomous Mobile Robots
Robotics (ROS) Software Engineer,
Trossen Robotics, LLC (Downers Grove, IL)
Developing C++ and ROS 2 Localization modules for LiDAR, Oak-D cameras on the AgileX Rover platform
Created ROS 2 drivers for Pan-Tilt-Zoom Cameras to be added to the rover
Graduate Researcher,
Perception and Autonomous Robotics Group, WPI
(Worcester, MA)
Research Topic: Depth and Post Estimation from Monocular Camera Motion under guidance of Prof Nitin J Sanket
Designed a network to predict Optical Flow and its aleatoric uncertainty for active vision-based navigation on quadrotors
Enhanced the performance using TensorRT and evaluated against RAFT and depth-based networks over the accuracy, inference speeds and other trajectory metrics
Implemented end-to-end depth and pose estimation network based on SFMLearner using monocular camera input (Python, Pytorch)
Research Engineer,
Robotic Materials Group (Worcester, MA)
Integrating a proprietary sensing system on a mobile robot platform for sub-surface land mine detection in collaboration with Quantum Innovation Systems (QiS) (involved C++ development and electronic circuit design)
Graduate Teaching Assistant (Fall 2022),
Worcester Polytechnic Institute (Worcester, MA)
Course: RBE 500 - Foundations of Robotics (Fall 2022)
Responsible for conducting office hours and grading ROS2/C++ assignments for Foundations of Robotics course
Robotics Engineer Intern (ML Perception Team),
DEKA Research and Development Corp. (Manchester, NH)
Analysed the ML model performance for trajectory prediction of road agents for the FedEx autonomous delivery robot (Roxo)
Implemented algorithms to discard inappropriate data or filter out bad predictions by the network on nuScenes dataset
Robotics Intern,
SVR Infotech Pvt. Ltd., (Pune, India)
Implemented IoT control on a robot which communicates with a Flutter mobile application using Google Firebase. Real-time video feed was displayed in the application window, and control commands sent to the bot from the app
Integrated Voice assistant service on Raspberry Pi controlled bot using Google Assistant, Alexa, and other APIs
Developed GUI and optimised hardware for Pipe inspection bot with miniature gripper in Processing 3 IDE
Machine Learning and Hardware Developer,
Yun Solutions LLP (Pune, India)
IMAGE PROCESSING AND ML:
Worked on image processing based information extraction from scanned documents into SQL database
Applied OpenCV algorithms on edge devices such as Raspberry Pi for client-application specific projects
Implementation of Machine Learning algorithms on Kaggle Datasets to design short courses for the academic interactions of the company
HARDWARE:
Worked on Communications device repair project for Indian Air Force, Base repair depot in Pune
Worked on a few of application specific demonstrations on Raspberry Pi using Python