Services

Cloud platforms and Kubernetes, because systems have to stay up in production. Plus AI engineering when a prototype needs to go live, and reviews before anyone makes a large cut.

AI engineering

LangGraph, hybrid RAG, evaluation, observability. Once real users and liability show up, the demo is no longer enough.

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Cloud and Kubernetes platforms

Replace WebLogic, J2EE or Docker Swarm. Cutover and handover so operations stay with you, not with me.

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Architecture reviews

I read the current system and write down what can break. Worth doing before a migration, or before an LLM rollout starts.

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Tech Lead / CTO as a Service

Technical lead for a while, when nobody inside holds the role. Reviews and decisions in the running team. The point is that you don't need me afterwards.

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What comes with it

A cloud platform and an LLM feature can sit in the same job. I write the code myself. CI/CD, secrets and docs get handed over so your team can run it. So far mostly government, healthcare and public transit.