Hyejin Lee
Machine Learning Engineer at Smilegate
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolHyejin Lee is a Machine Learning Engineer with nine years of experience building practical AI features that enhance user creativity and in-game experiences. Based in Vancouver, she specializes in diffusion model R&D, fine-tuning and inference optimization, and has shipped large-scale pipelines for pattern and character generation and AI-driven theme recommendations for titles like Lost Ark Mobile. At Smilegate she led production integration, QA/evaluation, and responsiveness improvements for AI dyeing and theme systems, combining Python, FastAPI, ComfyUI, and automated data pipelines. Her background includes academic research stints at UC Irvine and NAVER WEBTOON’s AI Research Lab, reflecting a solid bridge between research and production. Known for focusing on user satisfaction as much as model quality, she brings a pragmatic approach to pushing generative AI into live products.
9 years of coding experience
Master Computer Science, Master Computer Science at Kookmin University
Github Skills (15)
text-to-image10
inpainting9
diffusion-models9
regularization8
deep-learning7
javascript6
react5
pytorch5
text2image4
deep-reinforcement-learning3
dqn3
reinforcement-learning3
machine-learning2
artificial-intelligence1
ai1
Programming languages (3)
Github contributions (5)
Lhyejin/Automatic-Video-Colorization
Apr 2020 - Feb 2022
reproducing code from https://github.com/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity
Contributions:43 commits, 41 pushes, 1 branch in 1 year 10 months
pytorchdiversityvideoregularizationcolorization
Acasia/graphics
Jun 2019 - Aug 2021
Contributions:5 pushes in 2 years 1 month
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