I build and structure AI driven systems for regulated, high sensitivity environments where data integrity, auditability, and real world execution matter.

I started early, working at a macroeconomic think tank as a teenager, where I was exposed to large scale data, institutional decision making, and how complex systems evolve. I then entered private wealth management at a young age and spent over a decade working across every layer of the process, from operations and client servicing to data management, compliance, and daily execution. That experience shaped how I think, systems first, detail oriented, and accountable to outcomes. I understand how complex workflows actually function, where they break, and what it takes to make them reliable.

Today, I apply that foundation to AI and automation across highly sensitive workflows. My work sits at the intersection of infrastructure and emerging technology, translating complex processes into structured, implementable systems. I focus on moving from idea to execution efficiently, aligning stakeholders, data, and operational constraints so solutions can be deployed in real world environments.

My approach is straightforward, understand the system, simplify where possible, and build solutions that hold up under scrutiny.