About
I am currently a Machine Learning & Image Processing Research Assistant, where I develop real-time inference tools for intraoral 3D scan analysis using PyTorch and Blender. My background spans procedural graphics at Unity Technologies, shader development in OpenGL/GLSL, and self-directed low-level rendering projects. I enjoy exploring the space between automation, ML, and computer graphics.
Projects
Landmarkerr: Intraoral Landmark Detection Tool
Developed real-time landmark detection for 3D dental scans using PyTorch, FastAPI, and Blender integration. Contributed to a PhD-led research initiative and learned ML pipelines from scratch.
Procedural Asset Tools at Unity
Built tools for photogrammetry and environment art, including a Houdini foliage scatterer used in Appleās Prehistoric Planet.
Experiments
Here are some personal projects, mostly for learning and reference:
- Software-based splatting renderer built in Python
- ShaderToy noise domain warping