I think a lot about why people adopt new products. Lately, I’ve been thinking about what changes when software starts acting on our behalf.

My happy place is in messy problems where I can learn directly from customers, build product, and figure out the systems around it.

Over the last year and a half at 2389, I’ve learned to build software with agents. More recently, I’ve started working directly with engineering teams to help them build with AI — and figure out how to turn AI from something single-player into something multiplayer.

It’s become one of the most interesting parts of my work because of how deeply AI influences team culture and working cadence. I’ve been paying close attention to how teams split off and come back together, and how they develop trust in the work LLMs produce.

Experience

2389 Research

Operations

Working across product, research, building, and customer engagements. I’ve built agent experiments and internal tools, contributed to our research, and more recently started working directly with engineering teams adopting AI.

Techstars San Francisco

Program Team

Helped launch Techstars’ first San Francisco accelerator and build the program around its inaugural cohort. I worked closely with founders throughout the program — helping run the experience, connect them to the right people, and build the community around them.

Techstars Rising Stars

Chief of Staff

Invested at the pre-seed stage in underrepresented founders across the U.S. I worked with founders early — often before an accelerator.

Atomic

Business Operations Associate

I wanted to understand how companies get built from 0→1. I worked across product, UX, and operations, learning how to bring structure to ambiguous problems while keeping the person we were building for at the center.

Google News Initiative

BOLD Associate Product Marketing Manager Intern

I interned at the Google News Initiative while studying journalism. I learned frameworks for collecting and synthesizing large amounts of user research.