Introduction
- Contributed to early-stage automated modeling using satellite data, public city records, and Google Maps to instantiate Montreal’s Chinatown district.
- Implemented a procedural window-frame and fake-interior generation system, creating layered visual depth with adjustable styles based on function and angle of view.
- Optimized building performance through LODs, mesh merging, and render cost reduction techniques.
- Led vegetation asset simplification by classifying 100 urban plant types using ChatGPT and consolidating them into 10 reusable models, improving scene organization and runtime efficiency.