Minsang Kim is a Machine Learning Research Engineer based in Seoul with nine years of experience specializing in NLP, large language models, foundation models, and graph-based representation learning. He currently develops large-scale pre-trained language and multimodal models on SK Telecom’s Foundation Model Team and led work that contributed to SKT-A’s public Hugging Face models and a production chat service. Previously he advanced PLM, ODQA, KGE, and GNN research at Kakao and taught practical NLP courses covering translation, retrieval, and dialogue systems. A Korea University MS graduate and 2023 SKT-B AI Challenge grand prize winner, he blends academic rigor with product-focused engineering and has a track record of moving research into deployable model cards and services. An entrepreneurial streak shows through a Draper University entrepreneurship program and a history of diverse internships spanning software and platform projects.
"Combined Dense Embedding of Relation-aware and Common Features for Knowledge Graph Completion" International Conference on Patter Recognition, 2022, Accepted
Contributions:28 commits, 4 PRs, 103 pushes in 1 year 3 months
knowledge-graph
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