30+ years building production systems. Two Master’s in AI from when neural networks were academic curiosities. Career arc from expert systems to infrastructure to agentic orchestration.
Minds — symbolic AI + neural networks, the neurosymbolic foundation. Agents that reason about constraints, not just predict tokens.
Applied — real-world engineering over pure theory. If it can’t survive production traffic, adversarial inputs, and Monday mornings, it doesn’t ship.
Expert systems in Prolog. Symbolic reasoning when everyone else was doing databases. Two Master’s programs at Sheffield and Sussex.
HTC Condor clusters, email systems, video platforms, enterprise architecture. Every way distributed systems can fail — seen firsthand.
Agentic orchestration. Everything converges: symbolic AI discipline, infrastructure reliability, neural network capability. Applied Minds AI.
I’ve seen every way systems fail. That’s why every agent runs in a sandbox.
Years in production
AI Master’s degrees
Service tracks
AI since
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