Ziyu (Zoey) Liu
Technical Artist — Real-time Pipelines, Interactive Systems, & Mocap
A technical artist blending 3D animation craft with game-development execution. I specialize in building
efficient real-time pipelines in Unreal Engine 5, developing custom tools, and integrating motion capture data
to help teams ship polished, performant interactive experiences.
Experience
Developing real-time athlete feedback tools mapping biomechanical data to 3D
avatars.
- Pipeline: Built a real-time pipeline bridging external biomechanical video data to
UE5 animated avatars.
- Tools: Scripted custom Python solutions for joint angle calculation and motion data
(BVH/JSON) export.
- Tech Art: Created procedural materials and responsive rigs to visualize performance
metrics in real-time.
- Outcome: Optimized data flow between AWS and UE5 rendering, ensuring low-latency
feedback loops.
Drove visual production and automated export workflows for global campaigns.
- Outcome: Delivered 2D/3D cross-platform assets (IG, TikTok, FB, YT) for UK
campaigns, reaching 1M+ views.
- Pipeline: Automated export and optimization workflows, significantly reducing asset
turnaround time.
- Tech Art: Designed dynamic lighting and real-time rendering setups for the global
"Miss Bigo" virtual event.
Managed motion capture shoots and data integration for digital heritage projects.
- Pipeline: Operated mocap systems, directed actors, and captured clean,
high-fidelity motion data.
- Tech Art: Refined and retargeted FBX/BVH data for seamless integration into complex
Maya scenes.
- Optimization: Streamlined the workflow from raw capture to final solved animation,
improving team efficiency.
Provided production-ready stylized character designs.
- Delivered 4-view orthographics, material references, and detailed concept art meeting strict art
direction parameters.
Honors & Awards
CCAVA First Prize
2024 National 3D Comp. Longding Grand
National 3D Innovation Grand Prize
College Best Film Award
China–Korea New Media Second Prize
College Best Joint Creation
Dongseo Univ. Best Poster