Expertise

The depth behind the positioning — five areas I work in, with the AI work shown as a peer discipline, not a bolt-on.

Integration architecture
Designing the backbone that lets enterprise systems talk — from legacy ESBs to event-driven, API-led, domain-oriented platforms.
Event-driven & streaming
Kafka and cloud-native streaming as the backbone of modern data and integration — schema evolution, stream processing, and systems teams can depend on.
APIs & gateways
API platforms that scale across dozens of teams — gateway strategy, security governance, lifecycle, and the developer experience that makes them adopted.
Data & lakehouse
Cloud-native data platforms for analytics and AI — medallion lakehouses, data contracts at the source seam, and CDC pipelines that stay reliable.
AI & automation
Integrating generative AI into enterprise systems responsibly — agentic systems, RAG, evaluation as a sign-off gate, and governance you can audit.