FinOps and cloud cost optimization
I read the invoice line by line across AWS, Azure and Google Cloud, find where the spend actually lands against where teams assume it lands, and turn that into decisions someone can sign off.
FinOps and cloud cost →DevSecOps and pipeline security
Security built into every stage of delivery instead of bolted on before release — and a written answer to which role owns which control.
DevSecOps and security →Kubernetes and OpenShift platform engineering
Standing a cluster up is a weekend. Making it routable, observable, cost-aware and safe to deploy into is the job.
Kubernetes and OpenShift →Cloud migration and architecture
Landing zones, networking foundations, availability across zones, and the enablement the receiving team needs to run what they inherit.
Cloud migration →AI infrastructure and MLOps
Seventeen years of cloud infrastructure underneath the AI layer — the retrieval, the guardrails, the GPU scheduling, and the bill that comes with all of it.
AI infrastructure and MLOps →
Bring your requirements. I’ll bring the diagram.
Thirty minutes is enough to walk through an architecture in detail, or give you a first read on your cloud bill.