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QA Engineer with 4+ years in agile environments, manual and automation testing.
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Skilled QA Engineer with 4 years of experience in agile environments, manual testing, automation testing and mobile application testing across iOS and Android platforms. Exceptional skills in analyzing and reporting on test results, providing valuable insights to the product team and contributing to a increase in product quality.Developed and executed comprehensive test plans to identify defects and ensure product quality. Conducted regression testing to validate system changes and maintain performance standards. Passionate about emerging technologies and committed to driving quality assurance excellence in fast-paced development environments.
Sahrdaya College of Engineering and Technology
B.Tech
August 1, 2017 – May 1, 2021
Carmel HSS Chalakudy
Plus Two
June 1, 2015 – March 1, 2017
Carmel HSS Chalakudy
SSLC
June 1, 2005 – March 1, 2015
TCS
QA Engineer
July 1, 2021 – Present
Cochin, Kerala, India
Multi Brand Apparel
June 28, 2026 – Present
The objective of the project was to develop a mobile application enabling sellers to add products, while buyers can make purchases through the web platform. Additionally, an admin interface is implemented to oversee and manage various functionalities. Technology Used: Manual testing, Mobile application testing, Functional Testing Roles and Responsibilities: • Conducting Functional testing for the product. • Creating test cases and performing manual execution of test cases. • Identifying the test scenarios for the product. • Conducting testing for both iOS and Android applications. • Responsible for executing non-functional test cases for the product. • Responsible for conducting Integration testing for the project. • Ensuring proper test coverage for the product
SAS to Python Migration
June 28, 2026 – Present
The objective of the project was to develop Python scripts that can replace the existing SAS scripts without affecting the outputs. Technology Used: Manual Testing, functional testing, performance testing, Snowflake, Databricks Roles and Responsibilities: • Responsible for testing transformed legacy SAS codes into optimized Python solutions • Verifying the proper usage of OOP concepts, SQL and various other libraries for achieving high- performance data processing with significantly reduced processing times, especially for big data sets. • Developed automated scripts to scan through the converted code and check if the outputs are matching. • Created testcases for both positive and negative scenarios. • Identified, documented, and tracked defects found during testing, and worked with developers to resolve them. • Assessed technical risks and ensured that software products adhere to strict quality standards.
Global Analytics
June 28, 2026 – Present
The objective of the project was to enhance the existing codes according to the user specified requirements. Also possible automations were expected to be implemented. Technology used: Manual Testing, Automation Testing(API and Playwright) Roles and Responsibilities: • Designed, developed, and executed test plans, test cases, and automated scripts to ensure software quality. • Performed functional, regression, performance,smoke,API testing and load testing to identify bugs or defects. • Communicated with stakeholders to understand and clarify software requirements. • Supported user acceptance testing (UAT) and assisted clients with product validation.
Cultural Fit Analysis
The candidate's project experience, particularly the 'SAS to Python Migration' and 'Global Analytics' projects, shows adaptability to different technical challenges and a focus on optimizing existing systems and implementing automation. Their involvement in mobile application testing and data-centric projects indicates a broad skill set relevant to diverse team needs. The emphasis on collaboration with stakeholders and client support suggests a team-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills and effective communication, as evidenced by their role in client support and partnering with data scientists/business analysts. Their experience in agile environments and commitment to quality assurance suggest a good operational fit for a QA Engineer role. The project descriptions are clear and highlight their responsibilities well.