Bernard Kavanagh

Bernard is a specialist in high-performance data systems, helping organizations rapidly pivot from disjointed data stacks to unified infrastructure required for the modern agentic era. At TiDB, he architects Agent-First memory stores that consolidate Vector Search, Hybrid SQL, and Real-Time Analytics into a single platform , replacing fragmented multi-service stacks where AI agents lose context and accumulate cost. His work productionising AI workflows includes a real-time multi-agent platform for 200,000+ IoT devices that cut infrastructure costs by 65% and LLM token consumption by 10x with agents that improve diagnostic accuracy from every investigation.