Rajat Ghosh

I’m a Quality Engineering/SDET Lead with 6+ years of experience designing scalable, AI-augmented test automation across Web, Mobile, and Desktop platforms. My focus is end-to-end automation architecture that improves developer feedback loops while reducing defect leakage through strong “shift left” quality practices.

I build automation frameworks with Playwright and Selenium, extending them with Playwright MCP to power AI-assisted test generation, self-healing locators, and LLM-based failure triage. I’ve led CI/CD execution on AWS using Docker and Kubernetes, including Playwright sharding to parallelize regression runs and speed up release validation.

On accessibility and security, I integrate automation aligned with WCAG (Level A & AA) using Axe-core and Pa11y, targeting measurable compliance. I also embed OWASP-aligned security validation and secret detection directly into the automation pipeline, mentoring teams on AI augmented testing workflows and prompt engineering.

Across QA engineering roles, I’ve strengthened API and performance testing using OpenAPI (OAS), Schemathesis, Pytest, REST/GraphQL contract testing, and tools like Locust and JMeter. I’ve driven outcomes such as reducing release turnaround by 40%, improving defect discovery by 30%, and reducing API failure rates by 90%+ under peak traffic.