Inyoung Cho
Deep Learning Researcher Engineer at KRAFTON Inc.
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolIn-young Cho is a Deep Learning Researcher Engineer with 9 years of experience building production-grade AI pipelines for realistic, interactive 3D and graphics applications. At KRAFTON she led high-impact work that turned single images into 3D assets, accelerated retrieval and mesh preprocessing by orders of magnitude, and optimized diffusion-based PBR texture inpainting for real-time designer workflows—contributions that powered viral game features and Gamescom demos. Previously she improved RL-based architectural automation and engineering throughput at Spacewalk, and has applied deep learning to medical imaging and multi-view 3D reconstruction in industry research roles. A KAIST-trained computer scientist with top grades, she combines rigorous academic foundations with pragmatic optimization skills—often squeezing large speedups and memory reductions out of constrained consumer GPUs. Quietly, she pairs system-level thinking with hands-on model and data engineering, enabling designers and architects to ship creative content faster.
9 years of coding experience
1 year of employment as a software developer
University of California Santa CruzMaster of Science - MS, Computer Science, 4.25/4.30, Master of Science - MS, Computer Science, 4.25/4.30 at 한국과학기술원(KAIST)Busan Science High School
English, Korean
Github Skills (26)
loss-functions10
loss10
active-learning9
contrastive-learning8
python8
denoising8
siggraph8
image-reconstruction7
machine-learning7
gpu7
deep-learning7
weakly-supervised-learning7
outlier-detection7
path-tracing6
inverse6
Programming languages (3)
Github contributions (5)
Mephisto405/CS482_ltc_shadow
Nov 2018 - Dec 2018
Contributions:17 commits, 12 pushes, 2 branches in 18 days
Mephisto405/Mephisto405
Aug 2020 - Apr 2025
Contributions:39 pushes, 3 branches in 4 years 9 months
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