Not your typical
property manager.
Not even close.

An engineer who learned
to think in probabilities.

I graduated from Penn State with an Industrial Engineering degree and a business minor. I was trained to solve complex systems — to find inefficiencies, model outcomes, and optimize. I just never expected to apply that to a poker table.

Numbers came naturally early. I was learning higher-level math — algebra and calculus — at 7 years old. By the time I studied Industrial Engineering, thinking in numbers, probabilities and systems was already how I understood the world.

I started playing poker in college and got better year after year. I was winning, but for the first five years it was nothing significant — certainly nothing that looked like a career. Then I found the right people, the right framework, and something clicked. Within two years I was making more than triple any engineering salary I could have taken. So I made what everyone around me thought was a ridiculous decision: I went pro.

I earned half of my $5M+ in winnings playing 1-on-1 — heads-up poker, the most aggressive and intense format. Pure math, pure psychology, pure edge.

I played with some of the best in the world. Sat across from Johnny Chan multiple times. Competed at the highest stakes the game had to offer. And I learned something that most people never do: the difference between a good decision and a lucky outcome.

I made the calculated bet that poker was the right path for me. It was — but little did I know that 2 years in, the US government would do something that would change my entire life path...

When the government
forced my next move.

In 2011, the US government shut down the major online poker sites and locked up 90% of my money as part of their pursuit of the platforms. Almost overnight, at age 25, I had a choice: leave the country and keep pursuing the career I’d built, or walk away from poker and return to engineering.

I moved abroad. I didn’t know the cultures, languages or what life would look like. But I knew poker was where I had the greatest edge, so for six years I lived and played across the world — poker took me to 70 countries, living in maybe 10 of them. I bounced from country to country with 2 laptops and 2 monitors, playing the highest stakes while feeling like I was living in a movie.

Eventually the industry changed. Solvers got better. High-stakes games dried up. The edge that had made my career possible was narrowing for everyone.

I hung up the mouse, moved to Miami and started looking for what came next. I’d always been intrigued by real estate, but traditional rental returns weren’t interesting enough — financially or intellectually.

Then it clicked.

I’d stayed in more than 70 Airbnbs while traveling the world. So I started digging into short-term rentals the same way I’d attacked poker: get the data, find the inefficiencies, build the model.

The inefficiencies were everywhere. Pricing was primitive. Most operators weren’t treating revenue like a data problem. Everyone was copying each other and calling it management.

The same edge.
Different table.

What I brought to STR wasn’t a property management background. It was a decade of solving games most people thought were unsolvable. The analytical framework is identical.

I know which data matters and which doesn’t. We build pricing models from the competitive data across the market — then account for demand elasticity, booking windows, events and changing market conditions. We automate what should be automated and stay hands-on where judgment creates an edge.

The goal was never to build the biggest STR company. It was to build the most analytically rigorous one — and use that edge to make every property earn more.