For our CareerConnect application, I collaborated with a four-person team to build a full-stack job-search platform that was organized by career clusters (engineering, business, etc.), making it effortless for students to discover and connect with peers and mentors in their field. We followed Scrum processes, gathered user feedback, planned two-week sprints, delivered incremental features with continuous feedback from our TAs, and won 2nd place in the course competition.
As lead backend developer, I integrated a Hugging Face AI model for chat moderation, designed a MySQL import pipeline to ingest 1,000+ universities and 2,000+ majors from Excel on each run, and built RESTful APIs for cluster-based user search, one-to-one encrypted messaging, and real-time notifications for both individual and group conversations.
This hands-on work sharpened my skills in API design, secure data ingestion, real-time communication, and Scrum delivery—preparing me to craft scalable, user-centric applications.