// capabilities / technical delivery
From messy signal
to durable capability.
I work where customer reality meets architecture: discovering the real constraint, shipping the path through it, and leaving behind a system that works without heroics.
Capabilities / Delivery
I deploy, debug, and harden systems in customers' production environments.
A decade embedded with enterprise engineering teams — from first POC through on-prem rollout to the runbook that makes it never happen again. I speak to an engineering team as a peer and to a CTO as a partner.
Deployment
Shepherd deployments — POC to production
I take a product from first proof-of-concept to stable production in a customer's environment — SaaS or on-prem — and put control procedures in place so rollouts don't become customer-facing issues.
Migrated Splunk / SignalFx / AppDynamics / Dynatrace stacks onto Datadog; codified repeatable deploys with Ansible.
Troubleshooting
Debug live customer environments
When something breaks in production, I investigate across APIs, integrations, containers, and networks — under delivery pressure — drive it to root cause, then partner with engineering to ship the fix.
Owned critical escalations as platform & API SME; resolved multi-month enterprise blockers to retain strategic renewals.
Kubernetes & on-prem
Deploy and secure on Kubernetes
Significant production Kubernetes — self-hosted and cloud — deploying, debugging, and securing containerized platforms, with the Linux and networking depth to chase an issue all the way down.
Self-hosted k3s + GitOps · KCSA, Cilium, Kyverno · AWS · Azure · GCP.
Monitoring & runbooks
Build the "never again" tooling
I build the tooling and runbooks that let customers monitor their own instances and catch problems before they escalate — turning a one-off fix into durable capability.
API-driven health scoring & recurring-issue detection from platform telemetry; field-pattern memos into product.
Want the evidence behind the capability?