Numbers were the first language I learned to read.

Before tech, I started in finance and accounting, where I learned how organizations really speak through their numbers, how revenue gets made, how it flows, and what breaks when a company tries to grow.

In tech, I saw the same pattern from a different angle. Organizations rarely struggle for lack of talent or vision. They struggle when teams lose alignment, decisions lose clarity, and systems that once worked can’t keep up with growth.

That’s the challenge I focus on. I help founders and leadership teams turn chaos into structure they can grow on, reducing friction and using AI for real impact instead of added complexity. Because what works for a small team quietly falls apart at scale.

The same instinct runs through everything else I do. I teach as an Adjunct Professor at New York University, where my students hold a 100% PMP exam pass rate. As President of NYU Alumni in Tech, I represent 80,000 alumni globally, and I co-organize one of New York City’s largest engineering leadership communities, bringing together leaders from LinkedIn, Google, Meta, and Microsoft.

My research on AI has been published with the United Nations, IEEE, and the Decision Sciences Institute. I hold an MBA and an MS in Project Management from New York University, along with PMP, AWS CCP, CSM, CSPO, and PSM I certifications.

If your organization is growing, feeling stretched, or figuring out how to use AI well, let’s talk.