I'm an architect who builds custom AI pipelines for the architecture and design industry.
My work sits at the intersection of architectural domain knowledge and machine learning β turning early-stage sketches, massing models, and reference images into photorealistic, design-faithful renders.
I don't just use AI tools. I build them.
| Project | Description | Status |
|---|---|---|
| ImageToRender | Generate material, lighting & seasonal variants from a single reference image | β Public |
| SketchToRender | Hand-drawn concept sketches β photorealistic visuals, preserving design intent | π Private |
| MassToRender | 3D massing models β detailed architectural context with accurate scale and volume | π Private |
These aren't generic AI outputs. Each workflow is fine-tuned to respect architectural constraints.
Architectural AI Suite β Unity Application
Bringing SketchToRender, ImageToRender, and MassToRender into a single Unity-based desktop application. Python workflows connected to a clean UI β so architects can run AI renders without touching the terminal.
Python Unity C# Stable Diffusion ComfyUI β desktop app pipeline
- Concepts of Data Science and AI ππͺπ― β September 2024
- Jupyter Notebook Notes πππ β August 2024
- Git Notes β March 2023
- Doxygen Notes βπ½ β April 2023
- Eclipse Notes πͺπ β March 2023
- Frontend Notes π€β¨ β April 2023