About

I started my career as a data reporter. At The Washington Post, the San Francisco Chronicle, and Reveal, I built interactive investigations — dot density maps of American segregation, FOIA-driven accountability pieces, visual stories published in The Pudding and Observable. The work won awards, but more importantly it taught me that the hardest engineering problem is making someone understand.

I moved into tech because I wanted to solve that problem at scale. At Netflix, I went from data visualization engineer to staff engineer to engineering manager. Today I lead a team that builds the analytics products Netflix Ads uses to understand performance — metric definitions, dashboards, exploration tools, and the governance that makes all of it trustworthy.

The through line is always the same question: how do you take messy, complex data and make it genuinely useful for the people who need to act on it?