QA Automation Engineer with 4+ years in TypeScript & Playwright for Web & API automation
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Assessing your cultural and operational fit
A detail-oriented and performance-driven SDET/QA Automation Engineer with 4.3 years of experience specializing in TypeScript and Playwright-based automation for web, API, and end-to-end (E2E) test scenarios. Proficient in designing scalable test frameworks, automating critical E2E workflows, and developing custom test data tools using TypeScript (with GitHub Copilot). Experienced in SauceLabs, LooperPro and Grafana CI/CD with scheduled regression executions, and skilled in scripting, reviewing, and optimizing test cases. Brings strong domain expertise in Retail, Ecommerce domains and excels in Agile team environments.
University of Calicut
Bachelor of Science · Maths and Computer application
August 1, 2018 – June 30, 2021
INFOSYS LIMITED
Software Quality Engineer
January 1, 2021 – Present
Thiruvananthapuram, Kerala, India
BBC Website Automation Testing
June 17, 2026 – Present
• Developed comprehensive Playwright automation suite for BBC website testing using TypeScript and Page Object Model architecture. • Implemented CI/CD integration with GitHub Actions for automated regression testing and continuous quality assurance. • Created cross-browser compatible test framework covering navigation, search, content verification, and media playback functionalities. • Achieved 85% code reusability through modular design patterns and reusable component libraries. • Established data-driven testing approach with external test data management for multiple test scenarios and environments. • Demonstrated proficiency in modern automation tools and practices, showcasing ability to deliver enterprise-level test automation solutions.
View ProjectAmazon.in E-commerce Automation Framework
June 17, 2026 – Present
• Built a comprehensive e-commerce automation framework for Amazon.in using Playwright and TypeScript with modular test architecture. • Automated core shopping functionalities including product search, category navigation, and advanced filtering by brand and product variants. • Implemented end-to-end product discovery workflows covering homepage launch, product detail page navigation, and product comparison features. • Developed robust cart management automation testing add-to-cart functionality and shopping cart operations. • Created data-driven test framework with systematic test case organization and maintainable code structure following best practices. • Integrated Azure DevOps CI/CD pipeline for automated test execution and continuous integration with development workflows. • Established comprehensive test coverage for critical e-commerce user journeys from product discovery to cart management.
View ProjectAWS Cloud Practitioner
Unknown
June 1, 2026 – Present
AWS Certified Devops Engineer – Professional
Unknown
June 1, 2026 – Present
Tricentis Certified Test Design Specialist Level 1 - Tosca
Tricentis
June 1, 2026 – Present
RISE Award Winner
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal projects for Amazon.in and BBC, showcases initiative and a passion for automation beyond their professional role. Their experience in Retail and E-commerce domains aligns well with common industry needs. The breadth of skills, including modern automation tools (Playwright, TypeScript), CI/CD, and AI integration, indicates a forward-thinking mindset. Active participation in Agile environments and a focus on collaboration suggest a good cultural fit for team-oriented, iterative development processes.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through participation in project team meetings, peer reviews, and coordination with business users for UAT. Their active involvement in Agile ceremonies indicates a good operational fit for dynamic development environments. The ability to optimize workflow processes and ensure reusability points to a focus on efficiency and maintainability. The use of AI tools for test case generation and defect analysis suggests an innovative and proactive approach to QA.