Product Leader building AI systems, operational software, and data platforms.
Former U.S. Navy fighter pilot turned product leader focused on systems where reliability, trust, and execution quality matter.
Most of my highest impact work sits inside regulated and secure environments and cannot be shared publicly.
These repositories demonstrate how I approach product strategy, AI systems design, operational workflows, and complex software delivery.
| Project | Description |
|---|---|
| HappyCo Resident Retention Platform | AI product case study showing how property teams can predict and prevent resident turnover |
| AI Reliability Debrief | Reliability first AI architecture with evaluation scoring and governance |
| Real Estate Unit Mix Extraction | NLP workflow converting messy real estate listings into structured underwriting data |
AI Resident Retention Platform demo
Direct link
Resident retention operations dashboard from the HappyCo product case study.
AI powered resident retention product case study showing how property teams can
• identify residents at risk of leaving
• trigger targeted retention interventions
• track financial impact of retention actions
Repository
github.com/PatrickImperato/happyco-resident-retention-platform
Reliability first AI system architecture designed for environments where outputs must be trusted and auditable.
Demonstrates
• structured outputs
• schema validation
• evaluation scoring
• staged rollout strategy
Repository
github.com/PatrickImperato/aireliabilitydebrief
Applied NLP workflow showing how messy real estate listing descriptions can be converted into structured unit mix data for underwriting and portfolio analysis.
Repository
github.com/PatrickImperato/real-estate-unit-mix-extraction
• Product leader for complex distributed software platforms
• Built mission critical training and simulation systems
• Managed multi year product roadmaps and eight figure programs
• Led cross functional engineering teams delivering operational software
I focus on products where reliability and operational outcomes matter.
Typical problems I work on include
• translating operator workflows into software systems
• designing AI systems that produce trustworthy outputs
• building software in constrained real world environments
• converting messy real world data into structured decision tools
My work sits at the intersection of
• product strategy
• technical system design
• operational workflows
• AI enabled decision systems
I enjoy working on complex products where tradeoffs are real and execution quality matters.
LinkedIn
linkedin.com/in/patrickimperato
GitHub
github.com/PatrickImperato