I study computer science at the University of Toronto (HBSc, expected 2029). In summer 2026 I interned at Aspire Digital Technology in Guangzhou, where I led the team building an exhibition guide for Rokid smart glasses.
I'm looking for software engineering and applied AI internships.
A museum guide for smart glasses: look at an exhibit, hear a reviewed introduction, then ask follow-up questions about that exhibit.
I led the project team, connected the Android camera pipeline to the Python recognition service, and kept reviewed introductions separate from AI-generated answers.
A hackathon demo that answers U of T and Waterloo course questions with citations, while a browser panel shows the pages being read.
I led the team, joined the React front end, Fastify server, and Steel browser workflow, and built source routing, evidence extraction, and the coverage receipt.
A small Python tool that checks whether an agent should use, ignore, or ask about a stored memory before relying on it.
I wrote the decision rules, tests, and agent-skill packaging. The related experiment tied its baseline at 110/128, so I scoped the tool as a review aid rather than a safety system.
A Next.js app that imports a public YouTube playlist or a manual track list and sketches mood chapters and transitions from track metadata.
Honours Bachelor of Science, Computer Science (expected April 2029).
Project lead on the Rokid AR guide. Also evaluated AI agents on search, tool use, and scheduled tasks, documented reproducible failures, and worked on task feedback and error alerts in front-end and mini-program features.