Hyogon Ryu

Hyogon Ryu

LLM Engineering Team Lead at KRAFTON AI

I am a research engineer and lead the LLM Engineering Team at KRAFTON AI, working with Kangwook Lee.

I received my M.S. from KAIST, advised by Hyunjung Shim, and my B.S. in Cyber Defense from Korea University. My research was on diffusion model quantization; before that, I was a reverse engineer on CyKor, the best white-hat hacking team in South Korea.

Research Focus

I work on ML systems optimization & engineering across pretraining, RL, and inference. We’re a small team, so we work across the stack and tackle whatever needs optimizing.

Work

  • 2026Raon. KRAFTON’s foundation model family. Hugging Face
  • 2025SmartZoi. On-device, real-time social AI for the life simulation game, inZOI. NVIDIA video

Publications

Online Agent-as-a-Judge: Situation-Generating Evaluation for Interactive Agents

Hyogon Ryu, Jeonghwan Kim, Yewon Lim, Chaeun Lee, Jeongwook Kim, Donghoon Ham

ICML 2026 WorkshopPaperOverview

Terminus-KIRA: Boosting Frontier Model Performance on Terminal-Bench with Minimal Harness

February 2026Tech blogCode

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models

Hyogon Ryu, NaHyeon Park, Hyunjung Shim

ICLR 2025PaperProjectCode

Memory-Efficient Fine-Tuning for Quantized Diffusion Model

Hyogon Ryu, Seohyun Lim, Hyunjung Shim

ECCV 2024Code

Experience

  • LLM Engineering Team Lead, AI Model Research Dept., KRAFTON AI
    June 2026 – present
  • Research Engineer, Simulation AI Team, KRAFTON AI
    April 2025 – May 2026
  • Software Engineer Intern, NAVER
    January – February 2022

Education

  • M.S. in Artificial Intelligence, KAIST
    2023 – 2025
    Advisor: Hyunjung Shim
  • B.S. in Cyber Defense, Korea University
    2019 – 2023
  • Korea Science Academy of KAIST
    2016 – 2019
Last updated: November 2026.