Shipped systems. Honest labels.
A day job in production and a couple of independent projects. Everything is described in general terms; nothing uses non-public data.
- 01
Production AI at Arcadia
In productionAgentic assistants, LLM evaluation and observability, and document-workflow orchestration on real, regulated healthcare data.
My role: VP of AI & Automation. I lead the work and build hands-on.
- 02
Fact Riot
In developmentPaste a link or a post, get a claim-by-claim receipt with sources. Checked claims build a public track record for people and AI agents.
My role: Creator. Independent, non-healthcare project.
- 03
Autarkic
ExperimentAn open specification for AI agents as accountable participants: discovery, reputation and dispute resolution on existing agent standards.
My role: Author. Early design work, not a product.
Where the day job focuses.
Agentic AI in regulated healthcare
Multi-agent assistants doing real work under production guardrails: routing, retrieval and tool use where mistakes have consequences.
LLM evaluation & observability
Eval-driven LLM operations: tracing, scoring and datasets that keep production prompts honest over time.
Document-workflow orchestration
LLM document-processing pipelines: extraction, routing and human review at volume, in workflows that can't silently fail.