Vikram J.
Experienced QA Engineer | Playwright | AI-Assisted Test Engineering
I am an experienced Automation QA Engineer with 8+ years of expertise in software testing, with a strong focus on AI-assisted QA, Playwright, test automation, and end-to-end testing. I use modern AI tools and testing practices to improve test coverage, accelerate test development, and reduce repetitive QA effort. My experience spans all phases of the Software Development Life Cycle, including implementation, testing, deployment, and maintenance. My Expertise: - AI-Assisted QA: Using GitHub Copilot, Cursor, and AI-driven QA workflows for test case generation, edge-case identification, regression analysis, and test development. - Playwright Testing: Building and maintaining Playwright-based end-to-end, regression, API, and cross-browser tests. - Automation & Manual Testing: Experience with Playwright, Cypress, Selenium, WebDriverIO, and Appium, along with functional, regression, exploratory, UAT, and usability testing. - AI-Driven QA Workflows: Applying AI across user stories → test scenarios → test cases → Playwright test development. - API Testing: Hands-on experience with Postman, SoapUI, and Jest. - CI/CD Integration: Experience with Jenkins, Azure DevOps, GitHub Actions, and GitLab CI/CD. - Agile Practices: Working closely with developers, product teams, and stakeholders in Agile/Scrum environments. Technical Skills: - AI & QA: GitHub Copilot, Cursor, Prompt Engineering, AI-assisted QA workflows - Testing: Playwright, Cypress, Selenium, WebDriverIO, Appium, Postman, SoapUI, Jest - Languages: JavaScript, TypeScript, Java, Python - CI/CD: Jenkins, Azure DevOps, GitHub Actions, GitLab CI - Tools: BrowserStack, SauceLabs, Jira, TestRail - Databases: SQL, PostgreSQL, MongoDB What I Bring to the Table: - Strong experience using AI + Playwright to accelerate test development and improve QA productivity. - Experience converting requirements and manual test cases into Playwright-based test scenarios. - Skilled in identifying edge cases, improving regression coverage, and maintaining reliable test suites. - Strong manual testing background to ensure scenarios that automation may miss are properly validated. - Experience working across healthcare, finance, e-commerce, SaaS, and enterprise applications. - Hands-on experience testing across multiple browsers, devices, and platforms. - Focused on delivering reliable, maintainable, and high-quality software. Let’s work together to leverage AI and Playwright to build a faster, smarter, and more reliable QA process!
Earnings and projects
An estimate from an earlier read
Billed in all: $30,898$31k
Earnings, last 30 days
No data since Nov 5, 2026.