Jeewoo Yoon
Chief Technology Officer at Raondata | 라온데이터
Seoul, South Korea
Summary
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Senior🎓
Top SchoolJeewoo Yoon is a CTO and AI technical leader based in Seoul with a decade of experience turning academic AI research into industry-ready products. He co-founded and led AI teams at Raondata, guiding a multidisciplinary group of engineers, researchers, clinicians, and designers to define technical strategy and deploy healthcare-focused AI solutions. Before industry leadership he was a prolific PhD researcher at Sungkyunkwan University, contributing 25+ papers including >10 SCI(E) journal articles and presentations at top conferences like AAAI and Interspeech, with deep expertise in multimodal machine learning and data-driven systems. His background spans full-stack engineering and production ML—Node.js/TypeScript and serverless stacks at an edtech startup, plus PyTorch/TensorFlow for research—enabling him to bridge research rigor and product delivery. Known for translating complex academic ideas into practical applications, he combines strong technical credentials (PhD in Applied AI) with hands-on product engineering and cross-disciplinary collaboration.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Artificial Intelligence, 4.33/4.5, Doctor of Philosophy - PhD, Applied Artificial Intelligence, 4.33/4.5 at 성균관대학교Master's degree, Human Computer Interaction, Master's degree, Human Computer Interaction at 한양대학교
Github Skills (2)
audio4
vocoder2
Programming languages (2)
Github contributions (5)
DSAIL-SKKU/Tacotron
Jan 2020 - Jan 2020
Tacotron Implementation
Contributions:37 commits, 35 pushes, 1 branch in 18 days
tacotron
TEDxHanyangUAnsan/TEDx
Oct 2017 - Feb 2019
Contributions:1 PR, 44 pushes in 1 year 3 months
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