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QA Automation Engineer with 3+ years in Automation, API, Performance, and GenAI Testing
Detail-oriented QA Engineer with 3+ years of experience in Automation, Manual, API, Performance, and Security testing, specializing in Playwright-based automation and GenAl application testing. Proficient in designing and executing test strategies, test plans, and test cases for scalable, high-performance, user-centric applications, including Al-driven interview simulations and LLM-based evaluation engines. Hands-on experience in API testing, performance testing (JMeter), defect tracking (JIRA), and validating conversational Al flows. Strong knowledge of Agile/Scrum methodologies, SDLC/STLC, and continuous quality practices. Effective collaborator with cross-functional teams, focused on Al-driven automation-first approaches and reliable, secure software delivery.
Indian Institute of Technology, Madras
Bachelor of Science · Data Science
August 1, 2024 – Present
Maulana Azad National Urdu University
Diploma · Computer Science
N/A – June 30, 2019
Masai School
Quality Assurance Engineer
September 1, 2023 – Present
Bengaluru, Karnataka, India
Capaz Labs
Web Developer & QA
June 1, 2022 – May 1, 2023
Nagpur, Maharashtra, India
Cultural Fit Analysis
The candidate has experience in both a startup (Masai School) and a client-services environment (Capaz Labs), demonstrating adaptability to different work cultures. Their involvement in diverse projects, from high-traffic platforms to client-based web development, suggests a broad interest and ability to handle varied challenges. The pursuit of a Bachelor's in Data Science while working indicates a commitment to continuous learning and growth, which aligns well with a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with cross-functional teams and business leads, suggesting good teamwork and communication skills. Their focus on optimizing pipelines and ensuring stable releases indicates a results-oriented and proactive approach. The ability to direct end-to-end testing for high-traffic platforms implies strong organizational and leadership potential within a QA context.