MicroReel
300+ installs across five AI platforms. A TypeScript and React extension that coordinates video playback with AI response generation.
Computer Science student at York University building full-stack AI applications, tools for evaluating AI agents, and rover systems with Python and ROS 2.
Languages · Frameworks · Tools
Rover software, computer science, and experience shipping real-world applications
Sep 2026 – Present
Building a Flask and OpenCV camera-control API, reliable ROS 2 sensor logging, and rover movement controls with position limits and emergency-stop handling.
Honours BSc. in Computer Science at York University, with graduation expected in December 2027. Coursework includes operating systems, database systems, computer networks, and software design.
Built a React, Spring Boot, and Azure OpenAI application that maps documents to 100+ business capabilities, cutting manual review from 4–6 hours to about 10 minutes per initiative.
Explore my experience →A published browser extension and a workbench for evaluating AI agents
300+ installs across five AI platforms. A TypeScript and React extension that coordinates video playback with AI response generation.
A Node.js workbench for comparing AI agents in simulated release scenarios, with paired runs, counterfactual replay, and inspectable trajectories.