Mechatronics and Robotics Graduate Student

Engineer specializing in autonomous navigation, SLAM, and robotic perception. Proven track record of developing real-time visual-inertial localization pipelines, sensor fusion algorithms, and motion planning for autonomous mobile platforms using C++, Python, and ROS2.

TECHNICAL STRENGTHS

Computer Languages: Python, C, C++

Robotics: ROS2, ORB-SLAM2, LiDAR SLAM, Robot Localization, Motion Planning, RRT, Sensor Fusion Computer Vision: OpenCV, YOLOv8, Stereo Vision, Image Processing, Vision-Language Models, ArUco Detection Embedded Systems: Arduino, NVIDIA Jetson, CAN Communication, UART, I C, SPI, Embedded Programming, PCB Integration, Pneumatic Systems and Sensor Fusion

Software: Linux, MATLAB, Simulink, Git, Fusion 360, SolidWorks, Isaac Sim RESEARCH EXPERIENCE AND PROJECTS

Vision-Language Assisted Localization & Navigation for Unitree Go1 Jan 2025 – Present Assistive Navigation for Visually Impaired Users

Brooklyn, NY GitHub

– Developed a visual-inertial localization pipeline combining stereo vision, IMU fusion, and ORB-SLAM2 for autonomous mobile robot navigation.

– Engineered a floorplan-based navigation system with a custom GUI for user-defined waypoints, simulation, and real-time trajectory monitoring.

– Developed communication between localization, navigation, and visualization modules for autonomous robot operation.

– Achieved a 10% reduction in localization error compared with the baseline pipeline. Pneumatic Exosuit for Shoulder Sep 2025 – Dec 2025 Assistive Wearable Robotics for Elderly Users

GitHub

– Designed and improved a pneumatic shoulder exoskeleton to assist elderly users, focusing on wearability, structural stability, and assistive performance.

– Integrated sensors, actuators, and custom PCB hardware into the wearable robotic system for reliable hardware communication.

– Developed embedded software for actuator control, hardware debugging, sensor calibration, and system validation.

– Collaborated with multidisciplinary researchers to evaluate the prototype and implement mechanical and electrical improvements.

– Improved prototype reliability through iterative mechanical, electrical, and embedded-system validation. Autonomous Patrol Robot for License Plate & Vehicle Recognition Oct 2024 – May 2025 Autonomous Perception and Navigation for Vehicle Monitoring Tamil Nadu, India

– Developed an autonomous patrol robot integrating ROS2, YOLOv8, LiDAR SLAM, and embedded motor control for autonomous navigation and vehicle monitoring.

– Designed the perception pipeline for real-time vehicle classification and license plate detection.

– Implemented SLAM-based localization and Rapidly-exploring Random Tree (RRT) path planning for autonomous navigation in unknown environments.

– Validated the complete robotic system by integrating perception, localization, planning, and motion control into a fully autonomous platform.

– Achieved over 95% detection accuracy for real-time vehicle classification and license plate detection. EDUCATION

New York University, Tandon School of Engineering Expected May 2027 Master of Science, Mechatronics and Robotics

Anna University, Thiagarajar College of Engineering May 2025 Bachelor of Engineering, Mechatronics Engineering

EXPERIENCE

K12 STEM Education of NYU Tandon, Course Assistant, IESOSC program June 2026 – Aug 2026

– Developed, designed, and prototyped Arduino-based automation projects involving sensors, actuators, embedded systems, and rapid prototyping for high school engineering laboratories.

– Guided 40 high school students through laboratory activities involving sensors, actuators, microcontrollers, and introductory robotics concepts.

PUBLICATION AND PATENT

– IEEE PUBLICATION: Case Study on Integrating Legacy Devices in Industry 4.0 Framework Using OPC UA, IEEE Conference, 2023. (hyperlink)

– DESIGN PATENT: Underwater Sludge Removal Robot, UK Registered Design Patent No. 6310640. (Official patent link)

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