two decades in quality
the long version.

01 / focus

My work covers the full range of QA. Recent focus has concentrated in five areas:

• Invariant test frameworks. Tests that guard system-wide rules (payment idempotency, order-total consistency, role enforcement) regardless of implementation. Stable because they test rules, not flows.
• Agentic QA. A tester that behaves like a senior QA engineer. Derives scenarios from specs, executes across blackbox / DB / API layers, returns evidence. Disposable; nothing to maintain.
• Self-healing for the UI-critical remainder. Consensus-voted AI for selector drift, with auto-PRs as the paper trail. Used only where a browser layer is actually required.
• QA orchestration & platform. The infrastructure that runs testing reliably at scale. Queues, locks, manifest, triage, and dashboards that surface the operating model.
• AI & full-stack systems. When the QA work calls for building the systems underneath. REST APIs, multi-tenant platforms, RAG pipelines with grounding verification.

02 / background

I've spent 20+ years in QA and software testing. I'm ISTQB-certified at both Foundation and Advanced Test Manager levels, and I've spent most of my career working on production systems where correctness, maintainability, and long-term evolution matter.

Recent years have been about the shift: when an organization adopts AI-drafted development, cycle times collapse from weeks to hours. Traditional QA practices, coupled to implementation details like selectors and URLs, no longer fit. The answer isn't more self-healing on top of broken abstractions. It's a different methodology entirely: implementation-agnostic invariants on one side, an agentic tester that re-derives its work from the current spec on the other, and the orchestration to run both reliably at scale.

Alongside that, I design and build backend and full-stack systems using Node.js and TypeScript, PostgreSQL, and REST / OpenAPI-based architectures, with React and Next.js when full-stack work is appropriate. API-first design, authentication flows (OAuth2 / JWT), background job processing, CI/CD, and cloud deployment. AI/LLM integrations (OpenAI, Anthropic), RAG and document-intelligence pipelines, and multi-tenant RBAC systems. Domain experience across e-commerce, fintech, SaaS, and document processing.

03 / stack

• Playwright
• Cypress
• TypeScript
• Node.js
• PostgreSQL / pgvector
• BullMQ / pg-boss
• OpenAI / Anthropic
• Jenkins
• Next.js 15
• React
• Fastify / Express
• Drizzle ORM
• Elasticsearch
• Tailwind
• Docker
• AWS (EC2, S3)

areas

• QA & test automation: invariant testing, two-layer test strategies, E2E / API / DB testing, performance and load (Gatling), WCAG 2.2 accessibility, test strategy & planning, risk management.
• QA platform engineering: orchestration backends, queues, resource locks, manifest ingestion, Jenkins integration, failure-triage pipelines, Next.js dashboards.
• Backend: REST APIs with OpenAPI specs, compliance-first architecture, job queues, schema design, complex queries, migrations.
• Frontend: Next.js 15 App Router, strict TypeScript, accessible UI, responsive Tailwind.
• AI & LLM integration: RAG systems, semantic search, prompt engineering for high-stakes contexts, hallucination detection, grounding verification, confidence scoring.
• DevOps: Docker multi-stage builds, Jenkins pipelines with parameterized builds and DB coordination, AWS EC2 / S3.

04 / how I work

• Independent & self-directed. Comfortable owning projects end-to-end without detailed specs.
• Async-friendly. Strong written communication; documentation as a first-class deliverable.
• Quality-focused. QA mindset applied to every line, not just the tests.
• Iterative. Ship MVPs, validate assumptions early, cut what doesn't earn its place.
• Direct feedback. Concerns raised early with specific, actionable suggestions.

05 / certifications

• ISTQB Test Manager, Advanced Level (CTAL-TM, 2012)
• ISTQB Certified Tester, Foundation Level (CTFL, 2012)