Chandrashekhar S.

I help teams release reliable web, mobile, and AI-powered products by finding critical bugs early, validating key user journeys, and building maintainable automated regression coverage. I'm a QA & Automation Engineer with 8+ years of experience across manual testing, test automation, API testing, end-to-end testing, and AI-powered application testing. I work closely with developers and product teams to understand requirements, identify high-risk workflows, investigate defects, and deliver clear, actionable test results. How I can help your team - Manual QA: Functional, exploratory, smoke, sanity, regression, integration, and acceptance testing. - Test automation: Playwright, Cypress, Selenium WebDriver, and Appium for suitable web and mobile workflows. - API testing: REST API validation, Postman, Playwright API testing, and backend workflow checks. - AI-powered product testing: Validate AI-driven features, test edge cases and inconsistent outputs, investigate failures, and verify how AI features behave within critical user journeys. - AI-assisted QA workflows: Use AI tools where appropriate to support test-case design, identify potential edge cases, improve test documentation, and accelerate automation development—with human review and validation. - Release confidence: Risk-based test planning, critical-path validation, regression coverage, and release-readiness reporting. - Bug reporting: Clear reproduction steps, expected versus actual results, supporting evidence, severity assessment, and retesting. - CI/CD testing: Automated test integration with Jenkins and GitHub Actions. Tools and technologies Playwright · TypeScript/JavaScript · Selenium · Cypress · Appium · Postman · TestNG · Pytest · SQL · Jenkins · GitHub Actions Domain experience Healthcare, fintech, SaaS, eCommerce, education, mobile applications, enterprise web products, and AI-driven platforms. My approach is practical: understand the product and its risks first, use manual testing where human exploration adds value, and automate repeatable, high-value scenarios where automation improves confidence and efficiency. For AI-powered features, I focus on edge cases, output consistency, integration behaviour, and meaningful validation rather than assuming every generated response will be correct. I can help maintain an existing test suite, investigate difficult defects, validate APIs and AI-enabled workflows, or establish a structured QA process for a growing product. If you need a QA partner who can contribute to manual testing, automation, and AI-powered product validation, let's discuss your current risks, release goals, and the most valuable first deliverable.