I’m a product engineer shipping spatial and business intelligence end-to-end, across model orchestration, computer vision, and generative interfaces.
Ask a building questions about it in natural language you would to a Project Manager to cut onboarding time.
A floor plan image becomes queryable spatial data, with room and furniture count and types.
Agentic loop to generate, critique, and refine masks until guardrail requirements are met.
Natural language turns into costed, live-updating office programming dashboards.
Logic behind how a grounded LLM turns language into structured numbers and metrics tailored to interior designers.
Turning photos spatial for quick visualizations on an infinite canvas for designers.
Software is learning to see. Models are reasoning about space, and making decisions on real-world data, and industries are being rebuilt around them.
I’ve been building from inside that shift: an infinite canvas platform orchestrating 30+ generative models; LLM features turning natural language into structured spatial programs for ~1800 designers; and an agent pipeline that reads floorplans and returns structured geometry.