Younghoon Yun is a DevOps engineer based in Seoul with a decade of hands-on experience focused on bridging MLOps and DevOps practices. At Klleon-R&D he progressed from Deep Learning Engineer to repeated MLOps roles and now leads DevOps efforts, demonstrating a strong track record of moving models from research into production. His background in computer software from Hanyang University underpins a practical approach to CI/CD, infrastructure automation, and scalable ML pipelines. Colleagues know him for combining model-awareness with systems thinking—optimizing deployment and monitoring as first-class concerns. Though his public GitHub footprint is minimal, his internal progression and role continuity suggest deep, applied expertise in production ML operations.
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