Ray Chang

I'm a CCIT student at the University of Toronto Mississauga — Communication, Culture, Information & Technology — with minors in Game Studies and Sociology, expecting to graduate in 2026 with 18.5 of 20.0 credits completed.

My work sits where content production meets systems thinking. I create short video, editorial and campaign work, and I build AI tooling that makes content operations faster and more measurable. Mediara AI is the current focus: a multi-agent engine that turns a single brief into video, copy and a campaign plan.

Two ideas shape everything I make. First, accessibility is upstream — nine published papers on WCAG 2.1 AA and AODA mean inclusive communication is a starting constraint, not a final check. Second, production should teach you something: if a workflow generates content but no insight, it is only half built. That is why the analytics loop is part of Mediara AI rather than an afterthought.

My sociology and game studies background shows up in how I think about audiences — as people operating inside systems of rules, incentives and social context, not as abstract "users".