Quality architecture
Framework shape, service contracts, test ownership, release gates, and reporting models that survive more than one team or one sprint.
Quality + AI + Architecture
I design quality systems for teams shipping web apps, APIs, distributed services, and AI-assisted engineering workflows.
My work sits between architecture and release decisions: test platforms, contract checks, CI evidence, failure triage, and the small tools that stop stale signals from becoming production noise.
About
A test result by itself is not a decision. It needs context: what changed, which boundary is affected, whether the mock still matches the contract, whether the failure is new, and who can act on it.
That is the work I keep returning to. I build automation and quality platforms that make evidence readable for engineers, release owners, and the systems that sit in between.
Work
Framework shape, service contracts, test ownership, release gates, and reporting models that survive more than one team or one sprint.
RAG, MCP, agents, CI logs, failure history, and repository context used carefully enough that engineers can inspect the reasoning.
Distributed test execution across containers, CI workers, and cloud infrastructure where timing, isolation, and observability matter.
Featured project
MockDoctor compares ReadyAPI REST virtual-service files with an OpenAPI spec or JSON contract. It reports drift before stale mocks leak into test suites or CI pipelines.
npx mockdoctor compare \
--readyapi ./readyapi-project.xml \
--openapi ./openapi.yaml
Toolbox
Notes
2026-06-14
A short note on treating quality engineering as a signal system rather than a test execution department.
Contact
Contract drift, slow suites, noisy CI, flaky distributed tests, AI-assisted triage, or release gates nobody trusts anymore. Those are good conversations.
I can walk you through the page.