P Avinash Sharma
P Avinash Sharma is a Quality Engineering Innovator specializing in Generative AI-powered automation using Playwright MCP, which he actively uses to transform testing workflows. With strong expertise across Playwright, Tosca, and enterprise CI/CD, he drives testing modernization that reduces manual effort and accelerates delivery. Avinash focuses on practical, scalable solutions that help teams move from traditional test execution to autonomous, intelligent quality engineering.
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Quality Engineering teams face constant pressure to test faster while systems grow more complex. Avinash will demonstrate how he has implemented Generative AI + Playwright MCP to build a true end-to-end autonomous testing pipeline.
In this session, you$B!G(Bll see:
- Plain-English requirements $B”*(B Instant Playwright MCP scripts .
- AI-smart locators that self-heal when the UI changes
- Massively parallel execution that shrinks regression cycles from 45 minutes to just 4
- AI-driven reporting that maps failures directly to business needs
This is not theory — these capabilities are already being used today in real engineering environments Avinash leads. You will walk away with a production-ready approach that:
- Cuts test design effort from days to hours
- Prevents false positives and flaky tests
- Improves release confidence and accelerates delivery
Join us to learn how Generative AI + Playwright MCP can shift your organization from detecting defects late to preventing defects early — while enabling faster innovation.
