I’m a 19-year-old engineering student specialising in backend systems, robotics algorithms, and applied AI. I served as Team Captain of Brampton Robotics Team 11400X and as a programmer for Team 1104X. I developed odometry-based navigation systems to enable high-precision autonomous routines during competitions. I also designed and tuned custom PID controllers for drive control, arm mechanisms, and trajectory following, optimising performance across a range of dynamic environments.
My leadership involved architecting modular subsystems, writing efficient autonomous logic, and mentoring team members through iterative design, system debugging, and match-day strategy. This contributed to four VEX Worlds Finals qualifications and consistent top-tier provincial performance.
I also interned at MR. STUDIOS, where I worked on backend automation tools, built CRM-integrated real estate landing pages, and deployed asynchronous scripts to streamline internal marketing workflows.
Current: Building reinforcement learning agents, embedded AI platforms, and scalable backend systems. I’m driven by a passion for intelligent automation, control theory, and human-AI interaction.
Currently pursuing a Bachelor of Engineering in Mechatronics. Focused on robotics, control systems, and AI integration.
Led VEX teams 11400X and 1104X through 4 World Finalist appearances. Built autonomous navigation and PID systems.
Automated real estate pipelines with CRM integration. Developed backend scripts to streamline client onboarding and marketing flows.
Built AI-powered desktop tools, Python-based game engines, and secure management apps with strong UI/UX principles.
Real-time Q-learning AI that solves dynamically generated mazes using Python and Pygame.
GitHubA desktop document organizer with secure password locking, search, and file categorization.
GitHubSimulates and analyzes random dice rolls using predictive modeling and JSON logging.
GitHubAI that learns to play Flappy Bird via neuroevolution (NEAT algorithm) with memory retention.
GitHub