Open source Java developer
working on Kubernetes
and OpenShift.
Focused on GitOps, automation, and AI
Software Developer at IBM
Focus:
Kubernetes
I work mainly in open source, building and testing Java-based tooling around Kubernetes and OpenShift.
Most of my public work happens through collaborative projects like StreamsHub, skodjob, Strimzi, and EnMasse,
with a lot of focus on GitOps, automation, and platform reliability. Lately I have also been spending time on
AI tooling and MCP, mainly from the Java side.
My work sits at the intersection of software development, operations, and quality. I care about systems that
are understandable, testable, and stable when people actually have to run them.
Profile
I write software, build test tooling, and help shape the delivery side around it. A lot of my work has been in
Kubernetes and OpenShift environments, especially around operator testing, CI/CD, and production-like validation.
I tend to work where development, platform concerns, and release confidence meet.
Reduce friction between development, testing, and operations.
Design workflows that make reliable releases easier, not slower.
Automate validation around Kubernetes platforms and operator-based systems.
Keep engineering quality visible through faster, more useful feedback loops.
4Key orgs
Most of my public work shows up through collaboration in StreamsHub, skodjob, Strimzi, and EnMasse.
2015GitHub since
Years of public engineering activity across development, testing, automation, and platform work.
2Major chapters
Professional track shaped by Red Hat and continued today within IBM.
Certifications
Professional credibility built through hands-on Red Hat certification tracks, public technical work, and
ongoing badge-based learning. Architecture, OpenShift platform design, and cloud-native platforms are core areas.
Red Hat certifications
I hold Red Hat certifications including Red Hat Certified Architect and Red Hat Certified OpenShift Architect.
Those certifications align directly with the platform, architecture, Kubernetes, OpenShift, and production-oriented
engineering work I do.
Red Hat Certified ArchitectRed Hat Certified OpenShift ArchitectPlatform architectureCloud-native systems
Learning profile
Strong interest in Kubernetes and broader cloud-native engineering.
Continuous learning reflected through certification paths and badge-based achievements.
Current investment in AI tooling, AI-assisted development, and Model Context Protocol workflows.
Professional profile designed to expand with verified badge links and deeper certification detail.
Verification
Red Hat profile
Public verification is available through Red Hat Certification Central and shows a broader certification track.
Current exploration is focused on AI-native engineering workflows, practical automation, and building with MCP.
Experience
Publicly visible experience shows a path through Red Hat into IBM, with long-running focus on reliability,
operator testing, automation, and delivery quality in Kubernetes-centered environments.
IBM
Continuing work across software development, engineering quality, and operational effectiveness.
The emphasis is on dependable delivery, strong feedback cycles, and engineering systems that remain healthy as they evolve.
Red Hat
Built experience in environments where Kubernetes, OpenShift, platform reliability, and practical automation matter.
That background continues to shape how I approach release quality, operator testing, and engineering workflow design.
Projects
Most of my public code is collaborative open-source work rather than standalone personal repositories.
The strongest examples sit across StreamsHub, skodjob, Strimzi, and EnMasse.
Collaborative project
kubetest4j
A library for testing Kubernetes deployments and operators using the Fabric8 API. It fits closely with the kind
of cloud-native testing and validation work I spend most of my time on.