Robotics/AI Engineering Intern
Bornea Dynamics Limited
Conducted CubeSat hardware qualification testing, integrated software and hardware components, and advanced AI initiatives using Raspberry Pi and Nvidia Jetson.
Hello! My name is Vetrivel Balaji, but you can call me Vetri. I’m a Mechatronics Engineering student at McMaster University, driven by an unyielding curiosity and a passion for innovation.
My journey began as a tinkerer, eager to understand how things work. Over time, that spark evolved into a mission: to use technology to solve real-world problems and create meaningful impact. Whether it’s designing AI solutions, building robots, or diving into embedded systems, I thrive at the intersection of creativity and problem-solving.
Beyond engineering, I see life as a grand adventure. Each project is a stepping stone, and every challenge is an opportunity to grow. From collaborating on groundbreaking innovations to empowering communities through technology, my journey is fueled by a desire to make the world a better place.
Let’s explore the endless possibilities together. Join me as I continue to learn, innovate, and build a brighter future.
Conducted CubeSat hardware qualification testing, integrated software and hardware components, and advanced AI initiatives using Raspberry Pi and Nvidia Jetson.
Developed a CI/CD pipeline, automating testing for Canadarm2/Dextre web applications, achieving a 90% efficiency improvement while ensuring data integrity.
Designed AI solutions improving anti-money laundering by 250% and developed integrated web apps using Java and React.js, enhancing service efficiency by 50%.
Developed a self-driving robot system using ROS and C++, synchronizing depth camera and planar LiDAR data for precise obstacle detection and navigation.
Created an AI-based system for monitoring CT scan room activity, ensuring privacy and operational efficiency using Python, TensorFlow, and Raspberry Pi.
Led a team to develop a website that streamlined donations and provided educational resources to students in marginalized communities, enabling the NGO to expand its reach and positively impact more lives.
Designed a Device Controller-Monitor (DCM) for the Pacemaker system, featuring a hardware platform and Pacemaker application software, capable of programing and delivering pacing commands, as well as acquiring and displaying diagnostics, sensor history, and trending information.
Utilized ROS, depth cameras, computer vision techniques, and embedded systems to significantly enhance the navigation, object-detection, and obstacle-avoidance capabilities of a self-driven autonomous vehicle.
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