Applied AI and machine learning
- Agentic orchestration
- LangGraph
- LangChain
- MCP
- RAG
- LLM evaluation and testing
- GCP Vertex AI
- Gemini
- Llama
- Python
- PyTorch
- Predictive payment APIs
I build intelligent payment systems at scale, combining resilient microservices with Applied AI, both predictive and agentic, to move money smarter for millions of people.
I'm a senior engineering manager, architect and hands-on builder with more than 25 years in web applications, microservices and distributed systems. For the last several years I've led Consumer Payments services and experience APIs in the Bill Pay domain at Wells Fargo, including the rollout of instant payment APIs.
My focus now is Applied AI, and specifically getting it past the demo stage into systems a bank can actually run. In practice that means agents with real guardrails, retrieval grounded in data you can trust, and evaluation that tells you honestly whether the thing works. I'm doing that today on predictive payment APIs, and building toward owning that work at greater scope.
I finished my MBA at San Jose State in August 2026 to put some business grounding behind the engineering, and I like building teams where engineers keep learning. The work I want to keep growing into is Applied AI end to end, the business case as much as the architecture.
1st place
Our five-person team took first place in our category, out of more than 315 teams competing worldwide over two weeks to solve real enterprise problems with AI. We built CreditCheckBot on the internal DTI platform, and the judges singled out how pragmatic and scalable the architecture was.
Semifinalist
Built ESG survey automation on GCP Vertex AI, turning a manual questionnaire process into a workflow that drafted answers straight from source documents and then checked them.
I lead Consumer Payments services and experience APIs in the Bill Pay domain. I led the instant payment API implementation, and I now spearhead the generative AI work behind predictive payment APIs.
Led the teams behind Consumer Payments services and experience APIs, growing engineers while shipping payment features on a steady roadmap. Also drove the move off a licensed third-party test tool, automating the conversion of roughly 8,000 test cases to Karate BDD instead of rewriting them by hand.
Led the modernization and modularization of payment applications so they could be reached from any channel through web services and APIs. I also owned the design and integration work for onboarding new clients, which cut our third-party support costs.
Built J2EE web applications and led the customer payments data migration for the Wachovia merger, processing roughly 10 million transactions inside a tight off-hours window.
Agentic AI / 2026
An agentic assistant for credit checks, built with a five-person team and awarded first place in category at the CT Global AI Code-a-Thon 2026. It reasons in multiple steps, has real tests around how it behaves, and keeps its interface plain on purpose, all while running inside an existing enterprise platform.
Generative AI / 2024
A workflow on GCP Vertex AI that drafts ESG questionnaire answers from source documentation and validates them, in place of a slow manual process. It reached the semifinals of the GenAI Hackathon 2024.
Payments platform
Led the instant payment work in the Bill Pay domain, from the business services up through the experience APIs that consumer channels call. Money that moves in real time leaves very little room for latency or failure, and that shaped most of the design.
Cloud and modernization / current
Ongoing work modernizing and modularizing critical payment applications so they run in the cloud and serve every consumer channel through a shared set of web services and APIs.
Test automation
Roughly 8,000 test cases had to move off a licensed third-party test tool. Rather than rewrite them by hand, we built a framework that converted them to Karate BDD automatically. It dropped the vendor dependency, widened coverage and let the teams write new tests far faster.
Data migration
My first project at Wells Fargo, during the Wachovia merger. Led the development work for migrating customer profiles, accounts, payees and roughly 10 million payment records, in a single off-hours cutover window that could not run long.
An executive-format program for working professionals, finished alongside a full-time engineering leadership role and ending with a strategy capstone. My second master's degree, this one in strategy, finance and leading organizations through change.
A week on global business innovation, run in partnership with San Jose State University, mixing industry visits with role-based strategy simulations.
A three-year postgraduate computing degree covering software engineering, algorithms, databases and systems design. This is where the fundamentals came from.
Applied AI is what I work on and think about most. If you're building in the same area, I'd enjoy hearing from you.