HELLO, I'M

Vetri Balaji

I build intelligent systems that help people do more, live better, and unlock what was once impossible.

About Me

I'm a Mechatronics Engineering Student at McMaster University, working at the intersection of code, hardware, and purpose. I care about building systems that matter: tools that help people live better, move faster, and do things they once thought impossible.

I'm driven by curiosity, grounded in real-world impact, and fueled by the belief that technology can make anything happen and should always serve people first.

Skills & Expertise

AI & Machine Learning

Robotics & Embedded Systems

Full-Stack Development

Experience

Bornea Dynamics

Jan 2025 – Apr 2025

Robotics/AI Engineering Intern

Trained and optimized YOLO models for the UK Ministry of Defence’s missile targeting program. Prototyped a LLaMA-based behavior classification system for defense AI.

AIComputer VisionYOLOLLaMAONNXQuantizationPythonDefenseChatbotModel OptimizationNLP

Canadian Space Agency

Sep 2024 – Dec 2024

Software Engineering Intern

Automated testing for International Space Station (ISS) web systems that support Canadarm2 and DEXTRE, reducing a 2.5-year manual QA process to under 24 hours using CI/CD tools and Playwright.

CI/CDAutomationPlaywrightDockerAzure DevOpsPythonSpace SystemsWeb TestingQAGit

TD Bank

May 2024 – Aug 2024

Software Engineering Intern

Built and deployed 3 integrated React + Java web apps for a Unified Referral System, improving client routing and referral speed by 60%. Created AI tools using OpenAI and Azure to support fraud detection and service efficiency; demoed to executives for potential rollout.

Full-StackReactJavaNode.jsOpenAIAzureGitBitbucketJIRABankingAIFraud DetectionAgileStakeholder Demos

McMaster University Telerobotics, Haptics and Computational Vision Laboratory

Sep 2023 – Dec 2023

Robotics Research Student

Integrated depth cameras and LiDAR with ROS for real-time obstacle avoidance on a self-driving robot.

RoboticsROSSensor FusionLiDARDepth CamerasC++PythonEmbedded Systems

Unity Health Toronto

Jun 2022 – Aug 2022

AI Research Student

Developed a real-time AI system to monitor CT scan rooms using pose estimation; improved efficiency by 40% while preserving patient privacy through edge deployment on Raspberry Pi and Google Coral.

AIComputer VisionPose EstimationPythonTensorFlowOpenCVRaspberry PiGoogle CoralEdge AIHealthcareReal-Time Systems