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Aishwarya Pradhan
Senior QA Automation Engineer specializing in test automation and CI/CD quality gates
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About
QA automation engineer focused on end-to-end quality for a CMS lien registration workflow, owning a Playwright-based regression suite covering high-risk paths (creation, amendments, cancellation, batch file validation). Demonstrated impact by catching a UI change that bypassed required-field validation pre-release, stabilizing flaky CI tests using network-response signals, and driving clearer acceptance criteria and observability improvements (request IDs in logs) through cross-functional collaboration.
Experience
Education
Key Strengths
- Owned automated Playwright regression suite end-to-end for high-risk CMS lien registration workflows
- Improved coverage by adding negative, RBAC, status-transition/resubmission, and batch-processing scenarios
- Reduced CI flakiness by replacing time-based waits with reliable network-response signals and better failure diagnostics
- Pragmatic CI strategy: layered unit/smoke on PRs, broader regression post-merge/nightly, full regression + post-deploy smoke for releases
- Strong defect investigation: compares good vs bad runs, inspects network calls, validates backend state, produces actionable bug reports
- Influences quality early via discovery/refinement; turns requirements into testable acceptance criteria and risk checklists
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