Summary
Ki Kim is a Research Fellow and machine learning researcher based in Seoul with a decade of experience building and operationalizing large language models, domain-specialized pretraining pipelines, and data augmentation/creation systems. Currently leading ixi-GEN pretraining and evaluation pipelines at LG Uplus after driving LLM pretraining, finetuning, and dialogue modeling at SK Telecom, he combines deep research instincts with product-focused commercialization strategy. He has a strong teaching background—authoring multiple practical NLP and deep learning courses—and a history of industrializing ML from ETRI to startups like MakinaRocks and SK planet. Notably comfortable across the ML lifecycle, Ki blends hands-on model engineering, scalable training systems, and quantitative/qualitative evaluation frameworks to bring GenAI research into production.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Stony Brook University
English, Korean