My work usually starts the same way: find the leverage point in a system, then turn emerging capability into something operationally useful.
That has taken me across ecommerce, contact center, workflow modernization, and enterprise AI. At Guitar Center, I helped scale ChatGPT Enterprise from roughly ~150 licensed users / ~40 DAU to ~1,000 users / ~800 DAU by pairing reusable workflows with governance, enablement, and close partnership across Legal, Security, Engineering, and Operations.
I stay close to the build because better AI product decisions come from understanding the system, not just the roadmap. My work has included agent-based workflows, retrieval across structured and unstructured data, and eval-driven iteration to improve quality, trust, and reliability over time.
I also keep a hands-on builder practice through AI-native product and research experiments, including multi-agent research workflows in immunology. Music remains part of the story because it sharpens narrative sense, systems awareness, and craft. It supports the product work rather than competing with it.