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Senior QA Enginneer with 6+ years in automation, API, and manual testing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Software Quality Assurance Engineer with 4.2+ years of experience in manual testing, automation testing, and API validation across web and mobile applications. Strong expertise in Selenium WebDriver, TestNG, Maven, REST-Assured, Postman, and Page Object Model (POM) frameworks. Skilled in requirement analysis, test case design, and translating complex business scenarios into effective test strategies. Adept in Agile/Scrum environments, cross-functional collaboration, debugging, and delivering high-quality releases in fast-paced settings.
National Institute of Electronics & Information Technology
Advanced Diploma · Artificial Intelligence
August 1, 2019 – June 30, 2019
University of Calicut, India
B.Tech · Electronics & Electrical Engineering
August 1, 2018 – June 30, 2018
Impress.ai
Software Quality Assurance Engineer
January 1, 2022 – July 1, 2025
Cochin, Kerala, India
Agaze Technologies
QA Engineer & Cloud Deployment Engineer
April 1, 2021 – December 1, 2021
Bengaluru, Karnataka, India
Anehas Technology
PCB Design & Embedded Hardware Engineer
April 1, 2019 – March 1, 2021
Thrissur, Kerala, India
One Million Prompters Initiative – Prompt Engineering
Dubai Centre for AI & Dubai Future Foundation
June 1, 2026 – Present
Software Testing Foundations
LinkedIn Learning
June 1, 2026 – Present
Selenium WebDriver with Java
Udemy
June 1, 2026 – Present
Automation Tester Blueprint (Java & Selenium)
The Testing Academy
June 1, 2026 – Present
API Testing Foundations
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies (Impress.ai, Agaze Technologies) and roles (QA Engineer, Cloud Deployment Engineer, PCB Design) indicates adaptability. Their involvement in both manual and automated testing, along with CI/CD integration, shows a comprehensive approach to quality assurance. The certifications in AI and Prompt Engineering, while not directly QA-related, suggest a proactive learning mindset and interest in emerging technologies, which can be a positive cultural fit for innovative environments. The transition from hardware engineering to QA demonstrates a capacity for career pivot and learning new domains.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile ceremonies, cross-functional collaboration, and production support. Their ability to design reusable automation components and reduce manual effort indicates a proactive and efficiency-driven approach. The descriptions suggest good communication skills for interacting with clients and stakeholders, and for documenting test plans and reports.