I’m Jordon Quinn, a developer and UConn student connecting cognitive science with code to build useful, human-centered tools.
Study tools, useful automation, and a little intersection of code and competition.
A study app that turns typed notes, PDFs, and images into AI-generated flashcards. Play a clue-giving game with tilt controls, or review concepts at your own pace.
I built the React Native client and FastAPI backend, including document processing and reusable game state logic.
A Python service that checks weather conditions and sends SMS alerts for freezing temperatures, extreme heat, and precipitation.
JSON-based state tracks open alerts across application runs and supports follow-up messages.
Bringing my sport into my software: a linear regression model trained on 22 of my race results, using hurdle height and race sequence as predictors.
Matplotlib visualizations compare actual and predicted times across high school and collegiate hurdle heights.
I’m pursuing a B.S. in Cognitive Science with a Computer Science minor at the University of Connecticut, graduating in May 2028. I’m interested in the connection between understanding people and building the systems they use.
My work spans mobile development, Python backends, and data analysis. I’m also developing my C programming skills through coursework. Outside of code, I compete in the 110m hurdles for UConn’s Division I track and field team.
Resolved and routed ServiceNow incidents for more than 100 clinical and administrative users within a 30-person IT team. Translated technical solutions into clear guidance by phone and email.
Compete in the 110m hurdles while balancing a full course load with more than 20 hours of training each week.
Led shifts of 12 employees and trained 15 new hires, building practical experience in communication, leadership, and working under pressure.
Have an internship opportunity or a project in mind? I’d love to connect.