I build full-stack web apps with clean UI, solid engineering, and a focus on real users.
I'm a third-year Computer Science student at the University of Guelph with a strong interest in software development and problem solving.
My skills include building full-stack applications with technologies like React, Next.js, and Node.js. I enjoy learning new tools and frameworks, and I'm particularly focused on writing clean, maintainable code that solves real problems.
I'm especially interested in how software can be applied to areas like automation, data analysis, and user-focused web applications.
Assisted in data collection, cleaning, and analysis for a Premier League study. Utilized Python for data collection and organization, developing pipelines that transformed raw sports data into actionable insights.
AI-powered assistant for Canadian renters that helps users understand tenant rights and navigate common rental issues. Built to deliver fast, user-friendly guidance with a clean full-stack experience.
Predictive analytics project focused on forecasting Olympic outcomes using data-driven features and modeling. Emphasizes data cleaning, feature engineering, and rigorous evaluation.
Education-focused web app built to streamline learning workflows and improve the student experience. Designed with a modern UI and structured components, powered by AI.
Deal-focused app built to surface strong product discounts quickly and make deal discovery simpler through a clean, user-friendly web experience.
Available for internships & projects