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I turn messy, high-stakes work into applied AI systems.

I work with teams and clients to discover real problems, ship usable products, and earn adoption — from legislative workflows to personal work memory.

30+

Congressional staff

~50

Kudoyo early users

$25M

Grant application supported

8+

Years across systems

Selected Projects

View all work

Shipped

Personal

Playground

LegiKit

AI workflows built for congressional offices.

A legislative workflow product for briefing memos, vote recommendations, and constituent responses, grounded in live bill data and office context.

Users
30+ congressional staff
Stack
React / TypeScript / FastAPI / Postgres / LLM APIs
Status
Live Visit live site
Open case study

Process / 02

From constraints to adoption.

  1. 01

    Discover

    Map the workflow

  2. 02

    Build

    Ship the system

  3. 03

    Deploy

    Earn trust

  4. 04

    Compound

    Reuse the learning

Trajectory / 03

  1. Clay AlphaForge

    GTM Engineering bootcamp — inaugural cohort (18 of 1,500 applicants)

  2. U.S. Senate

    Housing, tax, and technology policy

  3. Anchor Data Studio

    Data systems for social impact

  4. PwC

    M&A consulting

  5. University of Chicago

    MPP, data science and finance

  6. KPMG

    Tax data and analytics

Building useful AI where stakes are real.

Looking for applied AI product and forward-deployed engineering roles where I can discover problems with teams, build the solution, and help it stick.