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QA Automation Engineer with 2+ years in Software Quality Engineering & Test Automation
MCA graduate and Software Engineer with three years of experience in enterprise software quality engineering and test automation. Experienced in building and maintaining automation frameworks using Java, Selenium WebDriver, Cucumber BDD, and TestNG to improve testing efficiency and product quality. Skilled in API testing with Postman and REST Assured, and working within Agile development environments. Strong knowledge of SDLC, regression testing, CI/CD workflows using Git and Maven, and defect tracking using Azure DevOps and Jira. Proven ability to collaborate with development teams and deliver reliable, high-quality software releases. Known for strong analytical thinking, attention to detail, and the ability to collaborate effectively with cross-functional teams to deliver reliable and high-quality software solutions. Currently based in Dubai and available for immediate joining.
APJ Abdul Kalam Technology University
Master of Computer Applications · Computer Applications
August 1, 2020 – June 30, 2022
Kerala University
Bachelor of Computer Applications · Computer Applications
August 1, 2017 – June 30, 2020
Infant Jesus Central School
XII · Computer Science
June 1, 2017 – May 31, 2017
Infant Jesus Central School
X · General
June 1, 2015 – May 31, 2015
UST
Automation Engineer / QA Engineer
May 1, 2023 – December 1, 2025
India
UST QE360 Enterprise Quality Engineering Platform
May 1, 2023 – December 1, 2025
Part of the Quality Engineering team responsible for ensuring functional stability and regression reliability of UST QE360, an enterprise-level AI-driven test automation and analytics platform. The project focuses on validating the platform's end-to-end features across web and API layers, ensuring robust performance and accuracy of its automation modules.
GenAI Integration Exposure
May 1, 2023 – December 1, 2025
Worked on an enterprise AI-driven automation and analytics platform (UST QE360), validating AI-assisted modules and using LLM-based tools to enhance debugging and code design workflows
Face Recognition Based Attendance Monitoring System
January 1, 2020 – January 1, 2022
Python-based facial recognition system for automated attendance tracking in educational institutions, improving accuracy and reducing manual effort.
Library Management System
January 1, 2020 – January 1, 2022
PHP-based project for managing and tracking daily library operations such as issuing, returning, and calculating dues.
Payroll Management System
January 1, 2020 – January 1, 2022
Automated salary and attendance calculation in PHP.
Road Safety System
January 1, 2020 – January 1, 2022
Accident-prone zone alert system.PHP-based project that notifies users when entering high-risk areas and provides safety precautions.
GitHub Copilot
Udemy
June 1, 2026 – Present
GitHub Copilot Beginner to Pro- AI for coding and developing
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's professional experience at UST, an enterprise-level company, suggests an ability to work within structured corporate environments. Their involvement in diverse projects, including academic ones, shows a breadth of interest and adaptability. The focus on AI-driven platforms indicates an openness to new technologies and innovation. The candidate's educational background and professional experience align well with the target role, demonstrating a commitment to quality engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and attention to detail, crucial for a QA Automation Engineer. Their experience in collaborating with cross-functional teams and participating in defect triage meetings indicates good teamwork and communication skills. The ability to define test strategies and mitigate risks early in the SDLC suggests a proactive and quality-focused approach. The candidate's profile aligns well with an Agile development environment.