I turn product and engineering needs into software, testing platforms and tools that teams can use with confidence.
Business-level test components for Cypress, pytest and k6, backed by shared API access, authentication, container environments and execution tooling.
Getting started with QaaS for QA engineers and developers.
Explore the onboarding example →MVP, UX/UI, React and TypeScript development, contribution checks and delivery to the integration environment.
Explore the product work →MCP and Playwright tooling to map a page, extract selectors and check selector uniqueness.
Explore interface tooling →What should this system guarantee, and which tests deserve priority?
Versioned knowledge packs and deterministic composition connect domain expertise with product and execution constraints. Product-experience POC available; decision architecture specified.
Explore the product and worked example →Research · architecture & protocol specifiedHow can we trust both an agent’s result and the path it took?
Work and path verification, task contracts and bounded evidence. Composed-capability detection is the priority hypothesis; MCP is the first experimental surface.
Explore the hypothesis and example →My career connects business analysis, software development and quality engineering. I approach a need through the people who use a system, the processes around it, its technical constraints and the evidence needed to validate the result. That combined view helps me frame the problem, build a response and equip teams to carry it forward.
Software quality, consulting and development assignments across varied business contexts.
Understanding business needs and organisational constraints, then turning them into applications, support processes and coordinated development work.
Taking an internal application from requirements and specifications through development, with design choices shaped by banking and insurance IT constraints.
Connecting product expectations with automated tests and CI feedback, while exploring how to select the right checks.
Reading web and mobile test results across release workflows, investigating instability and sharing practices with the teams.
Automating validation of a cybersecurity product in Kubernetes environments and investigating failures to improve the stability of test runs.
Bringing product development, test-platform architecture and developer tooling together through QaaS and beOne. Performance analyses and Go/No Go recommendations inform release decisions with leads and VPs.
Using that experience to explore how to define the right quality model for a system, and how to justify trust in an agent’s work.
Python · TypeScript · JavaScript · React · Ruby · Bash · SQL
Cypress · Playwright · pytest · Behave · k6 · OpenAPI
Docker · Compose · Kubernetes · GCP · GitLab CI · GitHub Actions · Jenkins
Backstage · Jira · Xray · Confluence · MkDocs · Datadog
Vault · OAuth / OIDC · Danger · Cocogitto · GNU Make
Local RAG · FAISS · llama.cpp · MCP · Codex · Devin
Technologies used across different projects and contexts; each case study explains its specific use.