PREJITH K
Kannur
Summary
Test Engineer with over 3 years of experience in Manual and Automation Testing, specializing in WebDriverIO and Playwright with JavaScript. Skilled in creating modular automation frameworks that boost productivity and reduce QA efforts. Proficient in SDLC, STLC, and test design techniques, with a focus on performance and API testing. Collaborates effectively with Agile Scrum teams to ensure timely defect resolution and product quality improvements.
Overview
3
3
years of professional experience
3
3
Certifications
Work History
Automation Test Engineer
Testing Mavens
02.2023 - Current
- Architected and implemented modular, scalable automation frameworks using WebDriverIO and Playwright with JavaScript.
- Developed automation scripts for functional, regression, and end-to-end scenarios, achieving comprehensive test coverage.
- Automated 80% of regression cases, reducing execution duration by 50% and accelerating release cycles.
- Identified and reported critical login defect through automated execution, preventing major production disruptions.
- Collaborated with developers, product owners, and Scrum teams to ensure high-quality deliverables in Agile sprints.
- Mentored team members on JavaScript automation standards and WebDriverIO best practices to enhance QA competency.
Education
Bachelor of Computer Science - Software Engineering
PRIST University
India01.2022
Skills
- Automation framework design
- Regression and end-to-end testing
- Defect tracking and analysis
- Multi-environment test execution
- Agile collaboration
- Test case design and documentation
- Risk-based testing
- WebDriverIO and Selenium
- Playwright expertise
- JavaScript programming
- Jira project management
- Git and GitHub proficiency
- Software development lifecycle (SDLC)
- Software testing lifecycle (STLC)
- Defect life cycle management
- Manual and performance testing
- API testing fundamentals
- YML configuration skills
- Git-based automation execution
Key Projects
Engagement Economics – KPMG
February 2023 – December 2024
- Automated KPMG’s Engagement Economics Internal Audit (IA) application, validating complex revenue and expense calculations to improve audit accuracy and reduce processing time.
- Designed and implemented YAML-based automation configurations integrated with Git repositories to enable daily automated execution, CI, and early defect identification.
- Resolved multi-environment execution challenges, ensuring stable automation across Development, QA, and UAT environments.
- Validated and tested data-driven email templates, ensuring accuracy, formatting consistency, and reliable delivery.
- Collaborated with cross-functional audit and development teams to align automation outcomes with business and compliance requirements.
Audit Guide Industrial Blueprint (AGIB) – KPMG
January 2024 – October 2025
- Automated KPMG’s Audit Guide Industrial Blueprint (AGIB) application, standardizing and streamlining industrial audit processes.
- Implemented Excel-based automation solutions to improve data accuracy, validation efficiency, and reporting reliability.
- Developed an end-to-end analytical workflow to assess industries and sub-sectors, improving audit readiness.
- Integrated engagement assessment methodologies to evaluate feasibility and scalability of comprehensive industry blueprints.
- Supported audit teams with data-driven insights, process optimization, and improved audit planning efficiency.
Project Highlights
- Automated KPMG's financial audit application
- Successfully implemented a multi-environment automation setup
- Designed automation structures for SToRT-based regression testing
- Delivered consistent, high-quality test artifacts
Websites
Languages
English
Upper Intermediate (B2)
B2
Malayalam
Intermediate (B1)
B1
Hindi
Beginner
A1
Certification
Playwright JS/TS Automation Testing from Scratch & Framework
Timeline
Automation Test Engineer
Testing Mavens
02.2023 - Current
Bachelor of Computer Science - Software Engineering
PRIST University