I build verification-first AI systems that combine multi-agent orchestration, deterministic validation, and evidence synthesis—so probabilistic models operate inside auditable, fail-closed architectures. I'm the architect and decision authority on every system here; AI collaborators, Claude among them, work inside the verification gates I design for the code itself.
Selected work
Live demonstrations use synthetic or static data. Each project links directly to its implementation and technical documentation.
A multi-model build-orchestration system that gates code changes behind independent review and a cryptographically verifiable approval chain. The model that builds is never the authority that certifies.
Multi-agent conversational AI for long-horizon evidence synthesis. Complexity routing, bias validation, and cross-model consensus keep generation separate from verification.
A communication-analysis engine that corroborates claims across six independent analytical layers. Findings elevate only when deterministic convergence rules are satisfied.
A production-grade, mythology-driven apparel storefront built as a complete product system—from art direction and catalog architecture through responsive commerce UX and automated deployment.
Engineering doctrine