About Me

I build systems to find stories.


I studied CS at Princeton and started out as a software engineer, writing full-stack applications.

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?

While deep in the creative loop, I still missed using the technical side of my brain as much as I used to. Once I closed that chapter, I went looking for a way to put it back to work.

That’s when I found data engineering and analysis, and everything clicked. It was the exact landing zone I’d been looking for. In pure software engineering, you build a tool and you’re done. In data, you use that same technical mindset, but for a bigger purpose: 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.

I explored it fully, on its own terms, and it stuck. But the instinct to build never left, so I kept doing dev work too — and now I bring the analytics with me, building the reporting in from the start instead of bolting it on after.

Up to this point, I’d mostly used these skills to build things I thought were cool. Now I want to use all of them together on problems that actually help people.

The Next Chapter

I recently moved from my hometown in New Jersey to Brooklyn, ready to plug into the NYC tech and data scene, building full-stack apps and data pipelines to work on problems that matter.