Junjie Zhao is a rising junior in Computer Science at the University of Rochester with nine years of programming experience and a focused interest in human-centered AI and HCI. As a multi-term teaching assistant across courses from data structures to computer organization, he blends clear pedagogy with hands-on mentoring and workshop-led research into peer learning outcomes. His research at the Rochester HCI Lab involves building LLM-driven interactive systems for medical feedback, including work on fine-tuning strategies to make conversations more human-like. Industrial experience includes deploying YOLOv5 on NVIDIA Jetson Nano for real-time traffic-sign detection and control for autonomous vehicle behaviors, demonstrating an ability to move models from prototype to edge deployment. A photographer and creative coder, he has explored AI that interprets art and aesthetics—a thread that reveals his interest in how machines can mirror human perception, not just optimize metrics.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Rochester
Contributions:7 commits, 6 pushes, 1 branch in 1 day
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