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Technology Leader in
Applied AI

Technologist in Residence at Nava PBC · Former U.S. Digital Service, Slalom, Ibotta, JazzHR

Technology leader in applied AI for benefits and public services, with 15 years of experience scaling teams and shipping production systems. Technologist in Residence at Nava PBC, where I lead the Nava Labs prototyping squad. My research tests AI against ground truth that can be checked — benefit formulas defined in statute, small models that run on the device, and evaluations with gates set before the runs. Previously led engineering at Department of Veterans Affairs Office of the CTO (USDS) and high-growth startups.

Notable Companies & Features

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company logo of johnson and johnson
company logo of slalom consulting
company logo of Ibotta
company logo of JazzHR
company logo of SlingTV
company logo of Vietnam Backpacker Hostel
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Logo of the United States Department of Veterans Affairs
company logo of johnson and johnson
company logo of slalom consulting
company logo of Ibotta
company logo of JazzHR
company logo of SlingTV
company logo of Vietnam Backpacker Hostel
Business Insider Logo
Guinness World Records Logo
Mashable Logo
MTV Australia Logo
New York Times Logo
Logo of the United States Department of Veterans Affairs
company logo of johnson and johnson
company logo of slalom consulting
company logo of Ibotta
company logo of JazzHR
company logo of SlingTV
company logo of Vietnam Backpacker Hostel
Business Insider Logo
Guinness World Records Logo
Mashable Logo
MTV Australia Logo
New York Times Logo

Latest Posts

Thoughts on applied AI, engineering leadership, and building in the open

Research ai government +3

Weight-Space Programming for the Social Safety Net

An independent test of the claim that AI models can write, read, and edit neural network weights directly, run against US benefit formulas where the correct answer is defined by law. Written weights were exact. Trained weights failed in ways average accuracy hides. And one step of the law cannot be represented at all.

Read more
Research ai privacy +2

Nine Versions of a Redaction Model

I trained my first model to redact PII and PHI on-device: an 11-million-parameter token classifier that fits in 11.3 MB. Nine versions of synthetic data, strict span scoring, and a failure ledger got it to 0.974 full-value recall on my golden set, with the misses still named in the post.

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ai government +3

Your Guardrails Can't Live Inside the Agent

A system prompt that says 'never do X' is a request, not a control. What Singapore's agentic AI governance framework gets right, what the open-source tooling looks like, and six lessons for agents that touch real people's benefits.

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Research

Long-form work tested against ground truth that can be checked: benefit formulas defined in statute, synthetic data with exact labels, and payment records with coded errors.

All Research All Research link
Research ai government +3

Weight-Space Programming for the Social Safety Net

An independent test of the claim that AI models can write, read, and edit neural network weights directly, run against US benefit formulas where the correct answer is defined by law. Written weights were exact. Trained weights failed in ways average accuracy hides. And one step of the law cannot be represented at all.

Read more
Research ai privacy +2

Nine Versions of a Redaction Model

I trained my first model to redact PII and PHI on-device: an 11-million-parameter token classifier that fits in 11.3 MB. Nine versions of synthetic data, strict span scoring, and a failure ledger got it to 0.974 full-value recall on my golden set, with the misses still named in the post.

Read more

Featured Projects

A selection of technical and leadership projects that showcase my expertise

View All Past Projects

Technical Projects

Leadership & Innovation

For Fun

AI Systems Advisory

I advise teams building agentic and LLM-powered systems: agent orchestration on AWS Bedrock AgentCore, Model Context Protocol server design, and retrieval and evaluation architecture for compliance-sensitive domains.

More on advisory engagements