Building AI products
that earn trust
When financial institutions face their hardest questions about identity and trust, I build the AI-powered products that answer them. From strategy to scale, I turn machine learning research into systems that protect people, move businesses forward, and hold up under the scrutiny of regulators, boards, and the real world.
Where I create
the most impact
AI-Driven Fraud & Risk Prevention
Fraud has evolved. The response has to as well. I architect detection systems that think in real time, adapt to emerging attack vectors, and stay ahead of threats that yesterday's tools were never built to handle.
Identity Verification & Digital Trust
Identity is the front door to every financial relationship. I build the systems that make that door secure without making it a wall, balancing rigorous verification with experiences that do not punish honest customers.
FinTech SaaS Platform Scaling
Great products fail without scale. I have taken platforms from early adoption to global enterprise footprint across banking, payments, and e-commerce, building the architecture and go-to-market foundations that sustain long-term growth in highly regulated markets.
AI/ML Product Strategy
The gap between a research breakthrough and a product that ships is where most AI initiatives stall. I close that gap, turning model performance into product reality with frameworks for evaluation, governance, and accountable deployment at scale.
Cross-Functional Product Leadership
The best outcomes happen when every team speaks the same language. I build the connective tissue between ML research, engineering, risk, and commercial teams so that complex decisions get made fast, with clarity and confidence at every level of the organization.
Building products at the
frontier of trust
I have spent my career on problems that affect millions of people. Who gets access to financial services. Who gets flagged as a risk. Whether the person on the other side of a digital transaction is real. These questions are not abstract. A false positive can lock someone out of their bank account. A missed synthetic identity can cost an institution millions. The stakes demand both precision and judgment, and I have built products that deliver on both.
My work sits at the intersection of AI research, product strategy, and enterprise delivery. I bring order to complexity, speed to ambiguity, and commercial clarity to technology that the people funding it often do not fully understand.
I have led product organizations through threat landscapes that did not exist five years ago and built teams designed to anticipate the next ones.
My philosophy on AI products
Technical accuracy is table stakes. What separates transformative AI products from expensive experiments is whether decision-makers trust the output enough to act on it. That trust is earned through design, not just performance.
How I lead teams
I invest heavily in shared context. When every function, from data science to sales, understands the trade-offs at play, the organization stops debating and starts deciding. Speed follows clarity.
Core Capabilities
Executive vision.
Delivered at scale.
Twelve-plus years, entirely in financial services. From early-stage startups to publicly traded global corporations, one consistent through-line: using technology to solve high-stakes problems that the financial world cannot afford to get wrong.
Executive Vision
I operate where product vision connects to business model and technology investment connects to competitive advantage. I have led fraud and identity product strategy for platforms trusted by 99% of U.S. banks, used by over 80 million consumers, and deployed across 40+ countries. The altitude changes. The standard does not.
Subject Matter Expertise
There is no shortcut to knowing this domain. I have built fraud detection systems inside a $2B AI platform processing trillions in annual transactions. I have shaped identity analytics products powered by 7,000+ predictive attributes at one of the world's largest consumer data companies. I have sat with the false positive rates and understood why a half-point improvement in model precision means millions of dollars and thousands of customers kept or lost.
Delivery & Execution
From whiteboard to production, including the hard parts. Stakeholder misalignments, model regressions, enterprise security reviews, rollouts that could not fail. Across five organizations spanning enterprise SaaS, fintech, and financial data infrastructure, I have shipped products that operate at the scale of 7,000+ financial institutions and protect over a billion people.
Results-Oriented
Shipping is not the finish line. I build measurement infrastructure, hold teams accountable to the numbers that matter, and create feedback loops that compound over time. The ecosystems I have contributed to have prevented billions in fraud losses and saved millions of analyst hours.
Thought Leadership
I engage publicly on the topics I know best, from conference keynotes and panel stages to podcast studios and bylined industry publications. Not to build a personal brand, but because someone who has actually built these systems should be part of the conversation shaping how the industry thinks about risk.
The intellectual framework
behind the work
How I Think About Fraud
Most fraud detection products are built to catch what already happened. I build for what is about to happen. The difference is not just technical. It is organizational. It requires product teams that understand threat intelligence, engineering teams that can ship model updates in days instead of quarters, and leadership that treats fraud as a revenue problem, not just a compliance problem.
How I Think About Identity
The identity verification industry has spent years optimizing for pass/fail decisions at the point of onboarding. That is necessary but insufficient. The harder and more valuable problem is maintaining trust over the lifetime of a relationship, when the person, the device, and the context are all changing. That is where I focus.
How I Think About AI in Production
The gap between a model that performs well in a notebook and a product that earns trust in production is where most AI investments stall. Closing that gap requires more than engineering. It requires product leaders who can translate model behavior into business outcomes, explain false positive trade-offs to a board, and build measurement systems that tell the truth about whether the product is working.
Shaping the conversation
on fraud & AI
A representative selection of recent keynotes, panels, webinars, and published work. Seven engagements in 2025 alone. These reflect an ongoing commitment to advancing how the industry thinks about fraud, identity, and AI. There is more where this came from.
AI and Machine Learning in Fraud Detection
A practitioner's take on what AI actually looks like inside a fraud detection stack, from adaptive model architectures to the ethical guardrails that enterprise deployments cannot ignore.
Real-Time Payments Need Real-Time Armor
Faster rails mean faster fraud. This keynote made the case for why real-time payment security requires a fundamentally different approach, not just faster versions of legacy controls.
Apiture Accelerate 2025
Community banks and credit unions face the same fraud threats as the largest institutions but with a fraction of the resources. This session addressed what smart, proportionate defense looks like in practice.
Alkami Co:lab Panel Session
A candid panel discussion on the specific fraud patterns emerging in digital banking and the product decisions that separate institutions that stay ahead from those that spend their time catching up.
The Rise of Deepfake & Synthetic Identity Fraud
An unflinching look at where synthetic identity and deepfake fraud are heading, grounded in real attack patterns and the detection architectures that actually work against them.
Fighting Fraud in the Age of Accelerated Payments
Speed and security are not opposites. This piece lays out the fraud risk calculus that every financial institution moving to real-time rails needs to work through before the threats arrive.
Combating Fraud in the Era of Faster Payments
A practical framework for financial institutions navigating the security implications of faster payments, with a focus on the AI tooling and intelligence-sharing models that actually move the needle.
The whole person
Lifelong Learner
Podcasts, audiobooks, lectures. If I am in the car, something is playing. Topics range from AI research to ancient history to behavioral economics. My family has accepted this. The dog has not.
Family First
Two kids who keep the scoreboard honest and a household that runs at full speed. No launch milestone compares to nailing the after-school pickup.
Music Across Cultures
My playlists cover more ground than most travel itineraries. Film scores next to classic rock, country, Latin, jazz. Genre is just a starting point.
College Football
Ohio State. Fall Saturdays are sacred. The schedule is non-negotiable. If you want to talk Big Ten, I am all ears.
Let's build something worth trusting
The right engagement depends on where you are and what the problem actually is. Some organizations need strategic clarity. Others need someone who can get into the work. A few need both. All of those conversations are worth having.
Board Advisory
For boards that want a voice grounded in both the technology and the market realities of AI and fraud, not the slide deck version.
Consulting
For organizations navigating complex fraud, identity, or AI product challenges who need someone with hands-on experience shaping strategy, evaluating vendors, and accelerating time to impact without a long ramp.
Executive Speaking
For events and media that want a practitioner who has built what they are talking about, and can make complexity accessible without dumbing it down.
Let's start a conversation
If you are building something serious in AI, fraud, or identity, or thinking about it, this is a good place to start.
Atlanta Metropolitan Area - available globally