Robotics and AI Engineering student with hands-on experience in embedded systems, hardware integration, medical robotics, and precision measurement systems. Building intelligent solutions for medical and industrial automation.
Robotics and AI Engineering student at NMAM Institute of Technology, Nitte (CGPA: 8.67/10.0) with hands-on experience in embedded systems, hardware integration, medical robotics, and precision measurement systems.
Currently working as a Robotics and AI Engineer at Vithsuthra Technologies, where I program microcontrollers (ESP32, STM32, Arduino), implement motor control algorithms, and develop autonomous navigation systems using ROS and Gazebo. My work bridges hardware and software to create intelligent solutions for medical and industrial automation.
Proficient in hardware testing, debugging, circuit design, and medical communication protocols. Proven team leader with experience managing technical projects from concept to deployment.
ESP32, STM32, Arduino, Circuit Design, PCB Design (KiCAD)
Motor Drivers, Signal Processing, I2C, SPI, UART, RS-422, CAN
ROS, Gazebo, Computer Vision, Kinematics, Autonomous Navigation
Medical Device Development, Patient Monitoring, Clinical Data Analysis
Micron-level measurement system using MTS H50C AMR encoder with ESP32.
Designed micron-level linear measurement system using MTS H50C AMR-based magnetic encoder with RS-422 differential interface. Developed ESP32-based signal processing module for quadrature A/B pulse decoding. Achieved sub-micron accuracy with noise-resistant long-distance sensing. Created wireless data transmission system for real-time monitoring. Applied to CNC machine precision control and industrial automation.
Comprehensive software for forward/inverse kinematics calculations.
Developed software for forward and inverse kinematics calculations for robotic manipulators. Implemented algorithms for joint angle computation, workspace analysis, and trajectory planning. Created visualization interface for real-time kinematic analysis and robot configuration validation. Designed modular architecture supporting multiple robot types. Built simulation capabilities for motion planning and singularity detection.
Computer vision-based blood detection integrated with collaborative robot.
Developing computer vision-based blood detection system integrated with collaborative robot for medical applications. Implementing real-time image processing algorithms for accurate blood identification in healthcare environments. Integrating multi-sensor systems with robotic control for automated medical sample handling. Designing safety protocols compliant with medical device standards. Testing achieved 94% detection accuracy in laboratory conditions.
UWB infrared fusion system for improving indoor positioning accuracy.
Developed UWB infrared fusion system for improving indoor positioning accuracy. Implemented algorithms to detect and correct non-line-of-sight errors in autonomous systems. Designed signal processing techniques for robust localization in challenging indoor environments. Applied system to healthcare robotics and autonomous navigation applications. Enhanced positioning reliability in complex indoor spaces.
Comprehensive patient monitoring system with IMU sensors and smart insoles.
Developed comprehensive patient monitoring system integrating IMU sensors and smart insoles for real-time gait analysis. Implemented computer vision algorithms for medical rehabilitation tracking and progress assessment. Created data fusion algorithms combining multiple sensor modalities for comprehensive patient monitoring. Designed for clinical use in physical therapy and rehabilitation centers. Developed patient data visualization and reporting features for healthcare professionals.
ISRO URSC Robotic Challenge 2024 - Selected top 177/2000+ teams.
Led team selected among top 177 from 2,000+ applicants for ISRO URSC Robotic Challenge 2024. Designed flight controller hardware integration and sensor fusion system for autonomous navigation. Implemented real-time communication protocols (UART, I2C) for telemetry and control. Developed ROS/Gazebo simulation environment for mission validation and testing. Created AI-driven decision-making algorithms achieving 92% navigation accuracy in complex environments.
CGPA: 8.67/10.0
Focus: Robotics, AI, Embedded Systems, Medical Robotics, Hardware Engineering
Stream: Mathematics, Physics, Chemistry
Selected for 2nd round at National Level
Selected among top 177 teams from 2,000+ applicants nationwide
Autonomous robot soccer competition
Combat robotics competition
Advanced robotics and industrial automation training program
2025 - Present | Managing technical logistics, participant coordination, and event execution
2025 - Present | Leading technical initiatives and digital transformation projects
2025 - Present | Organizing outreach programs and industry-focused activities
2025 - Present | Contributing to robotics research and competition preparation
2025 - Present | Chief Administrative Officer
Based in Nitte, Karnataka. Open to opportunities in robotics, AI, embedded systems, and medical device development. Let's connect and discuss how we can work together on innovative projects!