Donggeun Kim
AI Research Engineer at Nota AI
Seoul, South Korea
Summary
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Top SchoolDonggeun Kim is an AI Research Engineer with eight years of experience, currently contributing to Nota's Core Research team from Seoul. He holds a master's in Data Science from Seoul National University and spent time as a visiting scholar at Carnegie Mellon’s Institute for Software Research, blending rigorous academic training with applied research. His background in mathematics and big data science from Sogang University underpins a quantitative approach to machine learning and algorithmic problem solving. Donggeun excels at translating research insights into practical AI systems, particularly within early-stage product research environments. Colleagues describe him as someone who pairs deep theoretical understanding with a knack for shipping experimental models. He brings an international research perspective and a strong foundation in data-driven modeling to drive innovation in applied AI.
7 years of coding experience
석사, 데이터사이언스, 석사, 데이터사이언스 at 서울대학교 (Seoul National University)학사, 수학/빅데이터사이언스, 학사, 수학/빅데이터사이언스 at 서강대학교Visiting Scholar, Institute for Software Research,, Visiting Scholar, Institute for Software Research, at Carnegie Mellon UniversityProgramming languages (1)
Github contributions (5)
Dapenda/KHU
Jun 2018 - Jun 2018
Contributions:3 pushes, 1 branch in 1 day
Dapenda/KHU_guide_app
Jun 2018 - Jun 2018
Contributions:1 PR, 2 pushes, 2 branches in 1 day
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