I am pursuing my Master of Engineering in Robotics at the University of Maryland (expected Spring 2025). My focus includes advanced robotics, machine learning, sensor fusion, and computer vision.
Previously, I interned at Cognizant (2022-2023) developing full-stack web solutions, and at the Institute of Innovations, building IoT devices. My passion is to bring cutting-edge robotics technologies to real-world applications.
Integrating sensors, controllers, and software frameworks like ROS2/Gazebo for autonomous robots.
Building ML pipelines, deep reinforcement learning agents, and computer vision applications.
Developing firmware on Arduino, ESP8266, and ESP-32 for IoT and real-time robotics projects.
Experienced in building REST APIs, front-end interfaces, and deploying scalable web apps.
Implementing RRT, A*, Potential Fields, LQR/LQG, and advanced planning for manipulators & vehicles.
Integrating data from LiDAR, cameras, IMUs, and more for robust state estimation and perception.
Developed features for full-stack web applications, strengthening software engineering and problem-solving skills.
Designed and programmed IoT devices using ESP8266 and ESP-32, enabling real-time data collection and communication.
Relevant Coursework: Advanced Robotics, Machine Learning, AI in Robotics, Sensor Integration, Computer Vision, Sensor Fusion
CGPA: 8.94/10.0