Real Problems. Real Solutions.
Real Results.

Estimators spent 40–60% of their time manually parsing customer emails, looking up products across 6+ spreadsheets, and assembling quotes in Word documents. A single quote took hours; complex ones took days. The company had zero visibility into quote volume, win rates, or bottlenecks.

Built QuoteApp — an end-to-end AI quote automation system on the Microsoft Power Platform. Azure OpenAI parses inbound emails, semantically matches products against a 5,000+ item catalog, applies four-layer discount logic (customer, volume, special, discretionary), and generates branded PDF quotes — all routed through an estimator review step in Power Apps.

Research analysts were spending 6+ hours daily manually monitoring media coverage, SEC filings, and market data across 200+ portfolio companies. The fragmented workflow involved 8+ tools, creating inconsistent coverage and missed signals.

Built a private LLM-powered research platform that aggregates real-time data from news APIs, SEC EDGAR, social media, and proprietary databases. Multi-LLM synthesis generates automated morning briefings, sentiment analysis, and real-time alerts. Deployed on private infrastructure for regulatory compliance.

Bid preparation required 3–4 full working days per project. An estimator manually reviewed 200+ page RFP documents, extracted requirements, cross-referenced 10+ years of historical data, and assembled proposal documents. The company could only bid on 15–20% of available projects.

Developed an AI document intelligence system that extracts scope, specifications, and requirements from RFP/ITB documents. The platform cross-references extracted data against historical project costs to generate accurate estimates, then produces first-draft bid documents with project-specific language and compliance checkpoints.

Property managers with 10–500 units were trapped between enterprise platforms requiring 500+ units and basic tools that couldn't scale. They juggled 5+ disconnected systems for leasing, screening, billing, and maintenance.

Designed and built three integrated products: Leazbee (AI-native property management with concierge), Leazpass (AI-powered tenant screening with configurable risk scoring), and QuickSplit (automated RUBS utility billing with OCR). All share a common design system and data layer.

Compliance officers manually reviewed 50+ regulatory documents weekly, cross-referencing against firm policies. Reviews averaged 4 hours each, with high risk of missed clauses or contradictory terms.

Built an AI-powered compliance review engine that ingests regulatory documents, firm policies, and client agreements. The system identifies conflicts, flags version changes, and generates compliance summary reports. Natural language search lets officers query their entire document corpus instantly.

Racket sports facilities relied on fragmented booking systems that couldn't handle multi-sport scheduling. Operators needed separate tools for each sport, losing revenue from underutilized courts.

Built Sportango — a unified facility OS supporting 6 racket sports plus fitness. Features intelligent scheduling, program management, member portals, and white-label deployment. AI-powered demand forecasting helps operators price dynamically.