Jeonghwan Kim is a research scientist specializing in multimodal large language models, with nine years of experience bridging fine-grained visual perception, grounding, and retrieval-augmented generation to enhance real-world knowledge in MLLMs. Currently at Meta building multimodal foundation models, he has prior applied-science experience at Amazon developing cross-modal satellite image-to-GPS trace encoders and academic roots as a Ph.D. candidate at UIUC and researcher at KAIST. His work spans both core language modeling and practical retrieval systems, and he has applied those techniques to wearable smart-glass agents and geospatial representation learning. A former Republic of Korea Marine Corps sergeant, he brings discipline and operational perspective to high-impact ML research and engineering.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Handong Global University
Computer Science, Computer Science at Purdue University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Korea Advanced Institute of Science and Technology
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