Yingjun Guan is a PhD candidate in Library and Information Science at UIUC and an LLM Engineer Intern at AbbVie, bringing nine years of experience at the intersection of information management and applied machine learning. With an MS in Information Management from UIUC, Yingjun blends deep academic research in information organization with practical experience building and fine-tuning large language model solutions for industry use cases. Their work emphasizes bridging scholarly rigor and production constraints—translating complex information science concepts into robust ML-driven systems. Based in Champaign, Illinois, Yingjun is especially skilled at designing metadata and retrieval strategies that improve LLM grounding and trustworthiness, a perspective that is less common among engineers with similar ML-focused roles.
9 years of coding experience
Master's degree, information management, Master's degree, information management at University of Illinois Urbana-Champaign
Contributions:64 commits, 8 pushes, 2 branches in 29 days
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