About Me
I build systems to find stories.
My path into data wasn’t a straight line. For a long time, I was working within structured systems—doing what was laid out for me, getting the grades, which eventually led me to Princeton.
But academia and theory weren’t enough; I wanted to build things that real people interacted with. I tried the startup route with a friend, even stepping into a co-founder role, but eventually realized I was executing someone else’s dream rather than building my own foundation.
The Creative Loop
After graduating, I finally had the time and space to follow a deep, lifelong curiosity: music production. Instead of just dabbling, I went headfirst into it for five years. I treated production like an engineering pipeline—learning to write, record, mix, and master a unique style entirely on my own.
I dropped a full album, played live shows, and completely satisfied that curiosity. I closed the loop on that chapter with total closure, realizing that while I loved the creative process, the music industry wasn’t my permanent career path.
Why Data?
When I discovered data engineering and analysis, everything clicked. It was the exact landing zone I had been looking for.
In pure software engineering, you build a tool and you’re done. In data, you use that same technical engineering mindset, but for a bigger purpose: to set up the environment, clean the noise, and do the actual work of investigation and storytelling. It takes the logical puzzle of computer science and mixes it with the creative execution of music production.
The Next Chapter
I recently moved from my hometown in New Jersey to Brooklyn. I’m fully focused, hyper-prepared, and eager to plug directly into the NYC data scene and build pipelines that matter.