Vignesh Ravikumar

Computer Engineering candidate with a strong background in Computer Vision, Deep Learning, and Robotics. Proficient in C++, and Python and experienced with popular CV/DL frameworks such as OpenCV, PyTorch, and ROS. Strong problem-solving skills and a passion for creating innovative solutions. Seeking full-time roles in the field, available for employment starting Summer 2023.

Research and Advanced Development Intern - Vecna Robotics

Worked on behavior planning of the AutoCharge Stewart Platform in C++ to charge autonomous forklifts

• Integrated Zephyr RTOS with micro-ROS and ROS2 in C++ for communicating between vision, kinematics and firmware of the system and developed a code structure that involved multithreading and faster debugging
• Applied a Kalman Filter to denoise the position values from motors that drastically improved the pose accuracy from the order of centimetres to millimetres
• Developed a simple solution to reduce autonomous truck wait-time by 8 secs and boosting robot productivity in a work-cell by adding a multi-frequency IR sensor to the sensor suite which got pushed to production

Masters in Computer Vision and ML at Northeastern University