With 20+ years of experience at the intersection of Financial Risk Management, AML, and Artificial Intelligence, I specialize in building solutions where regulatory rigor meets technical innovation.

I’ve helped seven U.S. financial institutions design and operationalize risk frameworks — from Market and Credit Risk to AML model governance — translating policy into practice at scale. As a published author and AI project lead, I’ve created original tools such as the AML Risk Tutor, the SAR Narrative Enhancer, and an LLM-based Address Parser, all designed to solve persistent gaps in regulatory compliance using Generative AI.

My recent contributions have been featured in ACAMS Today, CefPro Connect, and the CAMS Study Guide, where I’ve helped shape how professionals think about Transaction Monitoring, model explainability, and regulatory AI adoption.

What drives me is the belief that AI should not just automate risk — it should clarify it. I work on that belief — through tools, frameworks, and thought leadership — one project at a time.