Jinho Jang
Art Director at Kong Studios, Inc.
Hangzhou City, Zhejiang, United States
Summary
🤩
Rockstar🎓
Top SchoolJinho Jang is a Principal Character Artist with 7+ years of experience crafting high-fidelity characters and hard-surface assets for AAA games and cinematic studios, currently leading character art at KRAFTON from Hangzhou. He has a strong track record at top studios including Respawn, NetEase, and Blur Studio, where he developed pipelines, style guides, and production techniques that scale small teams to deliver AAA-quality work. As former Art Director and lead of a Game AI Lab, he blends creative leadership with AI-driven tooling to boost productivity and streamline outsourcing workflows. His background spans both character and hard-surface disciplines—ranging from creatures and droids to weapons and environments—enabling cross-disciplinary problem solving. He also contributes to machine learning tooling on GitHub, adding Double DQN implementations to an open-source reinforcement learning tutorial, reflecting an unusual intersection of real-time art and research in AI. Colleagues rely on him for art direction, documentation, and mentoring that raise overall studio output and quality.
7 years of coding experience
Bachelor's degree, Design and Visual Communications, General, Bachelor's degree, Design and Visual Communications, General at Pusan National University
Github Skills (5)
deep-reinforcement-learning10
pytorch10
dqn10
python10
reinforcement-learning9
Programming languages (6)
Github contributions (5)
datawhalechina/easy-rl
Sep 2020 - Jan 2023
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Role in this project:
Back-end Developer
Back-end DeveloperContributions:167 commits, 6 PRs, 143 pushes in 2 years 4 months
Contributions summary:Jinho's commits primarily involve the addition of Double DQN functionality within the EasyRL repository. This indicates a focus on implementing and potentially testing the Double Deep Q-Network algorithm, which is a machine-learning technique. The changes include the creation of files with code related to the Double DQN implementation, which would indicate a focus on reinforcing learning.
a3cddpgsarsapporeinforcement-learning
johnjim0816/rl-tutorials
Jun 2020 - Jan 2023
basic algorithms of reinforcement learning
Contributions:598 commits, 21 PRs, 529 pushes in 2 years 7 months
basic-algorithmsreinforcement-learningreinforcementmachine-learning
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