Cheul Young Park

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Work
Experience

Upstage AI » Seoul, Korea

Software Engineer
Jun ‘23 ~ Present

  • Automating qualitative evaluation of LLMs to enable assessment of model behaviors beyond benchmark scores
  • Collaborated with Metaverse Entertainment on <Chat SIU:> project, launched globally for three weeks with 3,000+ unique users and 50,000+ cumulative interactions [X]
  • Automated Hanwha Life’s insurance evaluation workflow using Retrieval-Augmented Generation (RAG)

Data Manager
Apr ‘22 ~ Jun ‘23

  • Automated internal data management workflow for training and evaluation of OCR models

Silvia Health » Seoul, Korea

AI Researcher
Feb ‘21 ~ Mar ‘22

  • Trained speech-based models to detect cognitive impairment using smartphone data
Education

KAIST » Daejeon, Korea

\highlight{Masters} in Knowledge Service Engineering, Aug ‘18 ~ Feb ‘21
Thesis: “Towards Adaptive Sampling of Emotions in the Wild with Active Learning”

Carnegie Mellon University » Pittsburgh, USA

\highlight{Bachelors} in Economics, Aug ‘10 ~ May ‘17
with Additional Major in Human-Computer Interaction and Minor in Physics

Selected
Publications

\highlight{2023} Cha, I., Oh, J., Park, C. Y., Han, J., & Lee, H. “Unlocking the tacit knowledge of data work in machine learning.” in Extended Abstracts of the CHI Conference on human factors in computing systems [abs]

\highlight{2022} Kang, S., Park, C. Y., Kim, A., Cha, N., & Lee, U. “Understanding emotion changes in mobile experience sampling.” in Proceedings of the CHI Conference on human factors in computing systems [abs]

\highlight{2020} Park, C. Y., Cha, N., Kang, S., Kim, A., Khandoker, A. H., Hadjileontiadis, L., … & Lee, U. “K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations.” in Scientific Data, Nature [abs]

 

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