Applied AI builder with a reliability background
I build AI-native products for regulated, operationally complex domains. Currently founding Do Little Lab, an AI platform for fighting health insurance denials, while leading engineering on state-tax software used by 10 U.S. states.
Recent work focuses on agentic workflows, document-heavy reasoning, human-in-the-loop review, and production reliability for AI systems.
Do Little Lab — Founder
AI platform for health insurance denials, focused on extracting evidence from messy records, drafting appeal arguments, and keeping humans in the review loop.
State-tax software — Engineering Lead
Lead a 6-engineer team shipping regulated software used by 10 U.S. states, where correctness, release discipline, and operational reliability matter.
Reliability engineering — SRE background
SRE and engineering leadership experience improving uptime, release velocity, database performance, and incident response in production systems.
San Francisco Bay Area. Building applied AI systems for high-stakes workflows, with a focus on production reliability, human review, and document-heavy reasoning.
AI-Driven Healthcare Claims Advocacy
A practical look at using AI for evidence gathering, appeal drafting, and human-reviewed claims advocacy.
Currently: Maintenance: Everything Is Part One — Nathan Taylor
Recently: Working in Public — Nadia Eghbal, The Courage to Be Disliked — Ichiro Kishimi