Remote: No
Willing to relocate: Yes
Technologies: JavaScript (ES6+), React, Next.js, MongoDB, Redux, Node.js, Python, CSS/SCSS, Docker
Résumé/CV: https://storage.googleapis.com/obmelvin.com/obmelvin-resume....
Email: obmelvin@gmail.com
I am finishing my MS this month in Computer Science at the University of Illinois Urbana-Champaign. My research in the Data Driven Design Group has been focused on interaction mining, which is a new area of Human-Computer Interaction (HCI) that mines UX insights from mobile app interaction traces. Through my professional and research experience, I have gained experience exploring ill defined problems, iterating on system prototypes to accomplish the desired task, and describing my work in technical writing. Along the way, I have also built web applications, predominately in React, and refined my design process.
I was a primary contributor for a paper currently in review that mined Android interaction traces to create deep application links, links directly to UI states within an app, and allows users to search for appropriate deep links to complete a desired task.
My thesis is centered around a user study exploring what information users consider private in Health or Finance apps. The novelty in my approach is to post the user redacted screenshots on a repository of Android interaction traces (http://eaux.design), which forces participants to truly evaluate what they consider private. This research direction excited one of our group's Google collaborators and will be continued by a PhD student in my lab this summer at Google to inform privacy decisions surrounding the Fuchsia project.
I am extremely interested in positions with any combination of full stack engineering, UI/UX/HCI, research, and product.