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ryanparkerrr/README.md

πŸ—Ώ Hi there, I'm A-Mo-Ai (ι˜Ώζ‘©εŸƒ)

Math-driven 3D/AI Architect | Taming TRELLIS & Automating Rigging Pipelines

X (Twitter) Follow HuggingFace Spaces LinkedIn

β€œBridging mathematical geometry with production-grade 3D AI pipelines.”


πŸš€ About My Engineering Moat

  • πŸ”­ Building in Public: Currently architecting 3D-AI-Refinery β€” a full-stack automated pipeline converting raw unstructured point clouds/images into production-ready, fully rigged GLB/FBX assets.
  • ⚑ Performance Extreme: Taming VRAM bottlenecks on consumer GPUs (RTX 4090 24G extreme optimization) and resolving CUDA/C++ operator compilation deadlocks.
  • πŸ“ Mathematical Core: Deeply exploring SDF (Signed Distance Fields), 3DGS (3D Gaussian Splatting), and Differential Geometry in automated remeshing.
  • πŸ“« Collaboration & Career: DMs open on X (@amoai_3d) for Remote 3D/AI Architect Roles & B2B Consulting.

πŸ› οΈ Technical Radar

AI & Deep Learning

PyTorch CUDA Diffusers ONNX

3D Graphics & Automation

Houdini Blender OpenGL GLTF/GLB

Languages & Architecture

Python C++ LaTeX Docker


πŸ“Š GitHub Engineering Metrics

GitHub Stats Top Languages

(Note: Replace username=ryanparkerrr in the image links with your final handle like amoai_3d if you change your GitHub ID later).


🌟 Featured Architecture

Repository Description Live Demo
3D-AI-Refinery Full-stack industrial pipeline converting single images to rigged GLB meshes using TRELLIS and automated remeshing. Open in HF
trellis-memory-optimizer Custom VRAM memory pool allocation rewriting for TRELLIS, fitting heavy inference pipelines into 24G consumer GPUs. Code Specs

AUTOMATING 3D WORKFLOWS | SDF Β· TRELLIS Β· RIGGING

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