An end-to-end commercial real estate underwriting product I architect, scope, and ship. AI rent-roll extraction, NOI / cap rate / IRR modeling engine, sponsor-grade reporting layer. Built to give CRE sponsors the same modeling rigor PE-backed healthcare platforms run on every acquisition. Treat this as evidence that I can own finance automation, not as the headline of what I do.
CRE sponsors burn hours per deal extracting rent rolls from PDFs, rebuilding underwriting models from scratch in Excel, and assembling sponsor-grade reporting for LPs. The work is repetitive, error-prone, and inconsistent across deals at the same firm. Most underwriting software is either too rigid (locks you into a vendor model) or too thin (a calculator with no AI extraction or audit trail).
Rent roll extraction: upload a PDF (any sponsor format). AI pipeline extracts unit-level data with field-level confidence scoring. Underwriting model: NOI build, cap rate sensitivity, debt sizing, IRR / equity multiple, with audit trail back to the source. Sponsor reporting: LP-ready memos generated from the same underlying model so reporting never drifts from underwriting.
Multi-property portfolios. Lender-ready debt sizing module. Comparable-set ingestion from public sources. Eventually a healthcare-platform variant that brings the same pipeline to PE-backed practice acquisitions.