About
I'm an AI Product Leader and Manager focused on building practical, human-centered AI systems that deliver real business value. I specialize in the full Product Lifecycle—from User Discovery and GTM Strategy to KPI-driven optimization and technical execution. Currently leading the Technical AI product team at Global Payments, where we serve 6M merchants with AI products processing 10M+ queries monthly.
As the founder of Aero Intelligence, I lead End-to-End Product Development for multi-agent voice AI. My methodology combines Agile/Scrum practices with Data-Driven experimentation, including A/B testing of LLM prompts and model architectures to maximize user engagement and retention.
My approach emphasizes Consequence-Weighted Evaluation, Growth Metrics, and Responsible Deployment. I believe AI products should be measured by high-stakes North Star Metrics like business ROI and user time-saved, not just technical benchmarks.
Certifications
Certified Scrum Product Owner (CSPO)
SAFe Product Owner/Product Manager
AWS Certified Developer – Associate
Microsoft Azure AI Fundamentals
Focus Areas
AI Product Strategy
Portfolio prioritization and ROI-driven AI roadmaps for scale.
Multi-Agent Systems
Architecting complex workflows using LangGraph and agentic RAG.
AI Governance
Risk mitigation through Complexity-Criticality frameworks.
Enterprise Orchestration
Deploying LLM infrastructure for millions of active users.
Technical Principles
Consequence-Weighted Evaluation
AI accuracy isn't enough. I prioritize evaluations based on the business impact of potential errors, ensuring high-stakes tasks receive maximum oversight. I believe evaluation should be narrative-first and continuously verified.
Agentic Utility over Chat
Real value lies in agents that do things, not just chatbots that say things. I focus on building voice-to-action and vision-to-action workflows that solve clear operational bottlenecks.
Platform-Agnostic Architecture
I build for the "Agentic Era" using modular systems (LangGraph, Claude API) that can evolve as models improve, keeping technical debt low and innovation pace high.
Contact
Based in Atlanta. Open to AI product leadership roles, advisory, and collaborations—let's talk.