I help software teams improve quality through test automation, API & integration testing, performance engineering, CI/CD quality and practical AI-assisted QA.
Design and improve maintainable API, integration and end-to-end automation.
Assess risk, define pragmatic automation strategies and improve quality feedback across the lifecycle.
Model realistic workloads and investigate performance, stability and reliability under load.
Explore practical AI workflows that augment experienced QA engineers while keeping validation deterministic and reviewable.
Maintainable API testing, reusable components, schema validation, reporting and CI execution.
PythonpytestRESTWorkload modelling and measurable thresholds focused on latency, throughput, errors and degradation points.
k6JavaScriptA delivery pipeline showing how automated checks, reports and quality gates become part of software delivery.
GitHub ActionspytestA proof-of-concept exploring impact analysis, test recommendations and candidate test generation with human review.
AIAgentsQA16+ years in software quality and test automation, including senior roles in international technology companies. My experience spans automation, API and integration testing, performance, CI/CD and complex distributed systems.
Available for remote freelance / B2B projects and longer-term consulting engagements.
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