The product leader companies call when complexity needs to become growth.
I build digital platforms, intelligent customer experiences, and AI-enabled systems that turn fragmented workflows, unclear priorities, and underperforming user journeys into measurable business outcomes.
$2M+ in platform savings. 13,000+ businesses scaled. A patent-pending AI product built from zero.
Independent brokers scaled across a unified platform ecosystem
35K+
Loan Officers Enabled
Professionals empowered through real-time personalized tools
$2M+
Annual Platform Savings
Generated through architecture modernization and SaaS migration
400+
Hours of AI Research
Structured user and market validation before a single line of code
What I Bring to the Table
Twenty years solving the problems that slow platforms down and limit growth.
Companies with fragmented digital ecosystems, underperforming lifecycle systems, or AI products that aren't earning user trust share a common problem: they need a product leader who can translate messy user, data, and business signals into clear decisions, faster execution, and measurable outcomes. That is the specific problem I have spent twenty years solving — not theoretically, but in production, at scale, with real cross-functional teams and real business pressure.
At United Wholesale Mortgage, I drove platform and experience work across four interconnected product areas — a broker marketing and client management system, a real-time personalized broker dashboard, a consumer-facing marketplace, and a full SaaS content platform migration — supporting 13,000+ independent broker businesses and 35,000+ loan officers while generating $2M+ in annual savings. Today I am extending that discipline into AI-enabled systems, with a patent-pending product built after 400+ hours of research that addresses how intelligent platforms should respond when the stakes are high and a generic answer fails the user.
the Proof
Outcomes, not job descriptions.
$2M+ Annual Savings
A legacy content management system was costing the business in infrastructure, speed, and engineering overhead. Directed the migration of all public-facing digital properties to a SaaS headless CMS with reusable API-driven architecture. The result: over two million dollars in annual savings, faster time-to-publish across teams, and a platform-first foundation that scaled across products without proportional cost growth.
13,000 Businesses. One Coherent Platform.
Four separate product areas. One ecosystem that had to feel seamless to 13,000+ independent broker businesses and 35,000+ loan officers. Drove product strategy and cross-functional execution across a broker marketing platform, a real-time personalized dashboard, a consumer-facing marketplace, and the underlying infrastructure connecting them — with adoption systems that brought 5,000+ users onto new capabilities without a proportional increase in support cost.
A Patent-Pending AI Product. Built From Zero.
Most AI products fail at the product layer, not the model layer. After 400+ hours of user and market research establishing measurable ground-truth baselines, built a patent-pending AI system that interprets real-time behavioral signals and adapts responses based on context — with safety evaluation frameworks, bias mitigation checkpoints, and escalation logic built into the product from day one. Not a feature. A system designed to earn trust.
Where I Work Best
Four domains. One integrated capability.
Digital Platform Transformation
When a platform has outgrown its architecture or its team's ability to move quickly, I diagnose the friction, restructure the product foundation, and build the cross-functional alignment needed to ship improvements at scale.
Intelligent Experience Design
When AI needs to do more than answer questions — when it needs to recognize context, adapt behavior, and earn the user's trust in a high-stakes moment — I design the product logic, evaluation criteria, and governance framework that makes that possible.
Lifecycle and Growth Systems
When adoption is low, activation is slow, or the gap between user behavior and product decisions is too wide, I build the lifecycle systems, feedback loops, and experimentation frameworks that close that gap and move growth metrics.
Enterprise Cross-Functional Execution
When the problem is big, the stakeholders are many, and the roadmap needs to survive contact with competing priorities, I own the sequencing, trade-off decisions, and executive communication that keeps delivery on track.
AI-Enabled Product Work
Building the product discipline that makes AI trustworthy, not just functional.
The hardest part of shipping an AI product is not the model. It is the product judgment: knowing when the system should respond, when it should escalate, what guardrails need to govern automated decisions, and how to measure whether the system is actually working once it is in the hands of real users under real conditions. That is where most AI products fall short, and it is where most of my recent work has been focused.
400+ hours of structured research
Rigorous user and market validation establishing measurable ground-truth baselines before the first line of code was written.
Full MVP PRD and roadmap
Phased roadmap and OKR framework built from ground-truth baselines, ensuring every build decision traced back to validated user need.
Conversation architecture
Adaptive response logic designed specifically for high-stakes behavioral contexts where a generic answer fails the user.
Responsible AI governance
Bias mitigation, safety guardrails, model interpretability, and failure-mode escalation paths built into the product from day one — not bolted on afterward.
Patent-pending behavioral adaptation framework
Now in active commercialization planning, with a system architecture designed to scale across high-stakes use cases.
Education & Certifications
Credentials
Get in Touch
Let's build something that performs.
Open to senior product leadership roles across digital platforms, intelligent customer experience, AI-enabled workflows, and growth systems. If the problem is complex and the stakes are real, that is where this background fits best.