Daemyung Jang is a Chief Technology Officer and seasoned graphics and AI engineer with 11 years of experience building high-performance rendering and inference systems across mobile, console, and cloud platforms. He has led graphics pipeline and AR engine architecture at companies like LINE and AMD, optimized deep learning training and inference at KakaoBrain, and now drives IT and AI integration in entertainment as CTO of BLOOMING GRACE. A hands-on contributor to prominent open-source projects—most notably GPU morphing work in Google's Filament and frontend robustness improvements in the Triton compiler—he combines low-level GPU/driver expertise with model-performance engineering. Daemyung is known for pragmatic systems thinking: bridging compiler/tooling fixes to real-world rendering and ML workloads to squeeze out reliability and memory/performance gains. Based in Gyeonggi, South Korea, he describes himself as a thinker-doer who turns research-grade ideas into production-ready systems.
11 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Bio-medical Engineer, 94.07, Bachelor's Degree, Bio-medical Engineer, 94.07 at Kyung Hee University 경희대학교
Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS, and WebGL2
Role in this project:
Back-end Developer
Contributions:172 reviews, 70 commits, 78 PRs in 11 months
Contributions summary:Daemyung primarily contributed to the Filament rendering engine, focusing on GPU-based morphing and related features. Their work involved implementing and optimizing morph target buffers, including the management of vertex positions and tangents. They also added Java bindings for FilamentAsset to support morphing weight updates and target counts, and refined the code with bug fixes and memory optimizations.
Development repository for the Triton language and compiler
Role in this project:
Back-end Developer
Contributions:8 PRs, 59 comments, 39 issues in 7 months
Contributions summary:Daemyung primarily focused on improving the Triton compiler's frontend. Their contributions involved fixing inspection warnings, enhancing error messages for type and shape mismatches, and addressing typos within the codebase and documentation. They also enhanced benchmark flexibility within the testing framework. This work demonstrates a focus on improving the robustness and usability of the Triton language.
compiler
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