• Researching and Implementing Behavior Planning for Multi-Agent Swarm Robots using Reinforcement Learning, Graph Attention, and Deep Learning techniques at NEST Lab, WPI.

• The research includes Attention-based Intention Prediction and Multi-Agent Reinforcement Learning for the Control of Swarm Robots.

• https://www.nestlab.net/research

• Developed and automated validation system for Autonomous driving stack which includes Perception, Planning, Localization, and Control modules.

• Developed a validation system that accepts raw sensor data from the Camera, GPS, CAN, and Radar, which is then fed to the autonomous driving stack

• Teaching assistant for Robot Navigation course which deals with implementing motion planning, SLAM, Kalman filters, Particle Filters, A*, and frontier-based exploration on TurtleBot using ROS.

• Developed software features in C++ for Generic Middleware software components in embedded Linux-based Car Infotainment System, awarded by management by SPOT award for in-time releases of critical features.

• Experience in writing modular, clean, and optimized modern C++ production code.

• Developed software features in C++ for IP-based software components in Car-Infotainment System which relayed Vehicle data to Smart-Phone through MQTT protocol, and reduced the ticket count by stabilizing the component.