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QA Engineer with 6+ years in Automation, AI/ML Testing & Performance Testing
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Senior Quality Engineer with nearly 6 years of experience in web, mobile, API, and data testing across Agile environments. Proven expertise in building automation frameworks (Selenium, Playwright, Appium, Rest Assured), validating ETL pipelines, and implementing AI/ML model testing. Skilled in performance and load testing (JMeter, K6) and AI-assisted testing tools. ISTQB-certified in AI Testing, Performance Testing, Agile, and Foundation Level.
University of Sabaragamuwa
B.Sc. (Hons) · Computing & Information Systems
N/A – June 30, 2021
Sysco LABs
Senior Quality Engineer
January 1, 2022 – Present
USA
Intervest Software Technology
Quality Engineer
January 1, 2021 – January 1, 2022
India
Virtusa
Software Automation Engineer (Intern)
February 1, 2019 – August 1, 2019
India
ISTQB® Certified - AI Testing
ISTQB
January 1, 2023 – January 1, 2025
ISTQB® Certified - Performance Testing
ISTQB
January 1, 2023 – Present
ISTQB® Certified – Agile Tester
ISTQB
January 1, 2023 – Present
ISTQB® Certified – CTFL Foundation Level
ISTQB
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience spans multiple companies and industries (Master Data Management, Banking, RPA), demonstrating adaptability and a broad understanding of different operational contexts. Their involvement in AI research and multiple ISTQB certifications, including AI Testing, indicates a proactive learning mindset and a strong alignment with modern QA practices. The remote work experience at Sysco LABs also suggests self-discipline and effective remote collaboration skills. The diversity of tools and technologies used (Java, Python, JavaScript, AWS, various databases) further supports a strong cultural fit for dynamic and technologically advanced environments.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in managing QA teams, collaboration with business stakeholders for UAT, and working with development teams to maintain automation frameworks. These indicate strong communication, teamwork, and operational fit within an Agile environment. The use of AI-assisted tools also suggests adaptability and a proactive approach to efficiency.