Open to conversations about platform engineering and applied AI work
Senior Consultant — Platform Engineering & Infrastructure Automation
I help enterprises modernize infrastructure, Kubernetes/OpenShift platforms, and delivery pipelines — and I am extending that same embedded-delivery model into applied AI and agentic systems.
United States — remote, client travel as needed
01About
Senior consultant with a decade of engineering experience across enterprise and government environments, currently at Red Hat. I embed with delivery teams to modernize platforms end to end: migrating CI/CD from Jenkins to Tekton, replacing virtualization estates with OpenShift Virtualization, standing up developer platforms on Backstage, and putting infrastructure and configuration under version control with Ansible, Terraform, and Argo CD. Most of my engagements start without defined requirements, so a large part of the work is shaping scope with the customer, proving the approach, and leaving behind automation their teams can actually run. Alongside that platform work I am building applied-AI experience — LLM application development against the Claude API, RAG-style ingestion pipelines, agentic coding workflows, and OpenShift AI.
02Skills
Core practice first; the applied-AI group is newer and listed separately on purpose.
Actively developing — self-directed projects and certification work, not a decade of production practice.
03Experience
· Remote — US enterprise & public sector clients
Embedded consultant on platform modernization engagements: OpenShift adoption, CI/CD migration, infrastructure automation, and customer enablement — usually starting from an ambiguous problem statement rather than a written requirement set.
Backend engineer on fleet-compliance products, building and operating the services behind IFTA fuel-tax reporting.
04Selected work
Client engagements are described generically. Independent projects are labeled as such.
Client engagement
A delivery organization was carrying 18 aging Jenkins pipelines with drifting build logic and slow deployments.
Client engagement — national laboratory
A national-laboratory client needed to evaluate OpenShift Virtualization as a VMware replacement, with no predefined requirements and a hard security baseline.
Client engagement
Onboarding new services was a manual, ticket-driven process that did not scale past a handful of teams.
Client engagement
Virtual-machine requests required manual build steps that produced inconsistent, non-compliant hosts.
Independent project — self-directed, not client work
A personal exploration of LLM application design: a Python pipeline that turns a structured dataset into a fully generated presentation deck.
Independent project — self-directed, not client work
A personal RAG-style ingestion pipeline that turns video content into markdown suitable for LLM retrieval.
05Certifications
Red Hat Certified Architect (RHCA), Infrastructure — Level III
Red Hat
Red Hat Certified Specialist in OpenShift AI
Red Hat
Red Hat Certified Specialist in OpenShift Virtualization
Red Hat
Red Hat Certified Specialist in Containers
Red Hat
Red Hat Certified Specialist in Developing Automation with Ansible Automation Platform
Red Hat
06Contact
If you are modernizing a platform, untangling a delivery pipeline, or figuring out where AI actually fits in your engineering workflow, I am glad to talk.