Not a single prompt — a governed system. Heterogeneous models, tool servers, and verification loops coordinated under one orchestrator that is cost-aware, auditable, and safe by default.
Every task routes to the most cost-effective capable model — heavy reasoning to frontier models, mechanical work to cheaper tiers. Latency and spend are first-class.
Version control, datastores, messaging, and semantic memory exposed to the fleet through Model Context Protocol behind well-defined, testable interfaces.
Operator-attributed authorization, run-vs-certification separation, and gates that default to halt. Autonomy never outruns accountability.
Independent reviewer agents must refute a finding before it is accepted; retrieval grounded in a vector-embedded corpus with provenance and anti-tautology lineage.
The reason the orchestration works: decades of shipping the unglamorous foundations that AI actually runs on.
A career spent making complex estates resilient, automated, and cheaper to run.
Designed and operate a production fleet of frontier models with JIT routing, MCP tooling, and fail-closed governance — auditable autonomy by default.
Data-center-to-data-center migrations of large Oracle E-Business Suite estates with end-to-end clone automation and storage-snapshot DR.
SSO, VPD, DMZ, and TLS interoperability layers letting legacy and modern systems integrate without compromising the security envelope.
Open to senior / principal Enterprise & AI Solutions Architect roles — remote or hybrid.