• Built an AI-driven QTO automation system for railway noise barrier projects under Singapore's Cross Island Line (CRL), working with DXF drawings (J105, J107) at production scale.
• Developed a five-skill automation suite; column/bay schedule extraction, panelized barrier QTO, spatial column-panel matching, and a CP83-aligned Computable Benchmark covering 13 drafting anomalies.
• Evaluated 15 AutoCAD MCP servers and 2 Revit MCP servers for production viability; conducted Boolean search-based market research on AI-QTO tools.
• Created six manual verification baselines to validate automated outputs; achieved field-verified accuracy across benchmark drawings.