Eunhee Kim

Product-oriented AI research engineer with 3.5+ years of experience in human motion generation and machine learning systems. My work spans multiple stages of the ML lifecycle, including data pipelines, model development, deployment, and serving. I focus on translating generative AI research into production-ready features and systems.

Email  /  CV  /  LinkedIn  /  GitHub

Portrait of Eunhee Kim

Work Experience

AI Research Engineer, Cinamon Inc.
Aug 2024 - Present, Seoul, South Korea

Developed generative motion models for CineV, a video generation service based on LLMs and Unreal Engine. Implemented text-to-motion, motion refinement, stylization, in-betweening, and part-aware composition, and optimized model serving with Triton, ONNX, and TorchServe.

Publications

COMET publication teaser image Controllable Long-term Motion Generation with Extended Joint Targets
WACV, Mar. 2026

Project page | arXiv | Video
Authors: Eunjong Lee, Eunhee Kim, Sanghoon Hong, Eunho Jung, Jihoon Kim.
DASH publication teaser diagram DAncing body, Speaking Hands (DASH): Sign Dance Generation System with Deep Learning
SIGGRAPH Poster, Jul. 2023

Authors: Eunhee Kim, Taehwa Park, Jaeyoung Moon, Wonsang You, Taegwan Ha, Kyung-Joong Kim.

Selected Projects (Academic)

Visualize Music and Dance for the Hard-of-Hearing to Enjoy Music KOCCA, Mar. 2022 - Dec. 2023
- Developed a music-to-motion generation model based on VQ-VAE and diffusion models. - Implemented a sign dance generation system incorporating sign language into dance. - Built a Korean sign language motion-text paired database of 35,000 frames. - Press
HCI + AI for Human-Centered Physical System Design GIST, MIT CSAIL, Mar. 2022 - May. 2024
- Developed real-time physical systems for estimating human pose from multi-view video and pressure-sensing data. - Implemented a virtual assistant with a Transformer-based muscle EMG prediction model from pressure-sensing data.
Groovy Graph Pseudo Lab, Mar. 2022 - Jul. 2022
- Weekly academic paper review of graph neural networks. - Links: Project Page / Team Blog

Experiences

Intern Researcher Gwangju Institute of Science and Technology | Sep. 2021 - Feb. 2022 | Gwangju, South Korea
- Conducted data analysis on factors affecting user churn in online games.
Teaching Assistant KOSSDA | Nov. 2020 - Nov. 2020 | Remote
- Teaching Assistant for the KOSSDA Research Methodology Workshop, Introduction to Statistical Analysis with R. - Assisted with hands-on sessions covering statistical analysis.
Research Staff (Team Leader) Survey Research Center, Sungkyunkwan University | Feb. 2018 - Nov. 2018 | Seoul, South Korea
- Conducted face-to-face social survey interviews in the Seoul and Gyeonggi regions.

Education

Gwangju Institute of Science and Technology (GIST) M.S. in Integrated Technology, Mar. 2022 - Feb. 2024
- Graduate Program of Culture Technology. - Supervisor: Kyung-Joong Kim. - Cognition and Intelligence Lab. - Cumulative GPA: 4.25/4.5.
Kyung-Hee University B.A. in Sociology and B.S. in Applied Mathematics, Mar. 2017 - Aug. 2021
- Cumulative GPA: 4.04/4.5.
University of Turku Exchange Student Program, Mathematics, Aug. 2019 - Dec. 2019

Patent

10-2023-0061217 Motion Feedback Method and System using Normalized Data

Additional Information

Technical Skills

- ML systems: Python, PyTorch, Triton, ONNX, TorchServe, FastAPI - Experimentation: W&B, TensorBoard - Creative tools: Blender, Photoshop, Illustrator - Collaboration: Git

Selected Honors

- Best Game AI Jam Project, International Summer School on AI and Games (2022) - Scholarship for Activities of International Affairs (2020) - Dream Scholarship of Research (2019 - 2020) - Scholarship for Professor-Tutor-Student Portfolio (2018 - 2019) - Superior Scholarship (2017)

Certificates & Test Scores

- Survey Analyst, Junior (Sep. 2020) - OPIc IH (Mar. 2026) - TOEIC 905 (Oct. 2023) - TOEFL 92 (Sep. 2018)

Languages

- Korean (Native) - English (Fluent)