
QA Technical Leader with over 14 years of experience driving quality engineering, automation strategy, and delivery excellence for large-scale consumer web platforms. Deep expertise in Playwright (JavaScript) UI automation, API testing, Azure-based CI/CD pipelines, and GenAI-assisted QA practices using GitHub Copilot. Proven leader in defining QA strategy, release governance, shift-left and shift-right testing, and production quality monitoring. Recognized for building automation aligned with real end-user behavior, leading multi-squad QA teams, improving release confidence, and scaling modern quality engineering practices within Agile environments.
Languages & Frameworks:
JavaScript, TypeScript, Playwright, Nodejs, C#, SpecFlow (BDD)
Test Automation:
UI Automation (Playwright), API Automation (Postman), End-to-End Testing, Regression Automation, Automation Framework Design
CI/CD & DevOps:
Azure DevOps, CI/CD Pipelines, Git, Test Execution Automation, Release Validation
Cloud & Platforms:
Microsoft Azure (DevOps, Pipelines), Web Applications, Production Environment Monitoring
API & Integration Testing:
Postman, REST API Validation, Backend Workflow Testing
GenAI in QA:
GitHub Copilot, AI-Assisted Test Development, Automation Refactoring, Test Prototyping Acceleration
Monitoring & Quality Metrics:
Production Monitoring, Defect Trend Analysis, Release Health Metrics, Live Issue Validation
Tools:
JIRA, Visual Studio Code, IntelliJ IDEA
Methodologies:
Agile, Scrum, Shift-Left Testing, Shift-Right Testing, Risk-Based Testing
● Led QA validation for migration of 10+ lakh (1M+) SEO pages, ensuring zero-impact transition on user experience, traffic, and search visibility.
● Validated and optimized Akamai and Nginx caching strategies to improve page load performance, cache hit ratio, and scalability under high traffic.
● Executed risk-based QA to prioritize high-traffic, revenue-driving, and SEO-critical pages during large-scale migration.
● Performed end-to-end validation covering page rendering, cache behavior, network calls, and performance metrics across environments.
● Collaborated with engineering teams to verify cache invalidation, fallback behavior, and production stability post-migration.
● Improved release confidence by combining automation, cache validation, and production monitoring for large-scale SEO platforms.