Building Intelligent Systems
Robotics Engineer
Building robots that solve real problems and make a difference
Hi! I'm passionate about automating everyday tasks through robotic systems. I specialize in ROS simulations, mobile robots, industrial automation, system integration, and computer vision. I love leading teams to build solutions that think smart, not hard—transforming manual processes into automated solutions. I'm always growing and learning, and I enjoy helping my teammates and those around me grow through building things together.
Autonomous unmanned ground vehicle for defense applications with ROS 2 navigation stack, 3D navigation for unstructured environments, GPS-denied navigation, and drone integration. Led development as Robotics Head at RUGVED Systems, MIT-Manipal.
Soft robotic gripper for a UR5 robotic arm, designed for delicate object handling (11–90g) using Ecoflex 10 silicone, ANSYS FEA validation, and UR5 cobot integration for production-ready manipulation.
Python autonomous stabilization system for Pico drone using PID control in ROS 2, with WhyCon tracking filtering and custom PID tuning GUI in Gazebo Ignition. Achieved stabilization within ±0.5 units of setpoint in under 10 seconds.
Competition line follower robot with 8-sensor IR array and PID control, achieving 98% tracking accuracy at speeds up to 1.2 m/s. Built with Arduino Nano, L298 motor drivers, and 600 RPM motors.
ROS navigation stack for autonomous exploration and goal navigation with 95% localization accuracy using Gmapping SLAM and AMCL. Integrated DWA local planner for path planning and collision avoidance.
Autonomous drone control using computer vision and visual servoing for precise positioning. Uses image processing algorithms for target tracking and navigation in complex environments.
Anthropomorphic robotic hand with multi-DOF finger control, tactile sensing, and dexterous manipulation. Uses custom actuation system and control algorithms for human-like grasping.
Six-legged hexapod robot with locomotion capabilities, featuring custom mechanical design, multi-DOF leg control, and autonomous navigation for complex terrain.
iOS nutrition tracking application built with Swift and UIKit, using Apple's Vision framework for OCR text recognition to extract nutritional information from food labels. Features CoreData persistence, interactive data visualization, and automated data extraction.
Industrial robot programming using ABB RobotStudio simulation environment. Built custom end-effector trajectory planning and welding trajectory planning projects, demonstrating workcell design, RAPID programming, and path optimization for manufacturing.
Smart Home IoT simulation using Cisco Packet Tracer with wireless home gateway architecture, sensor integration, and automated control systems. Includes burglar alarm systems, building automation, and mobile device connectivity for remote monitoring and control.
IBM
Manipal Institute of Computer Education
Research contributions and academic publications
