Senior QA Enginneer with 4+ years in AI-Assisted QA, Automation & Mobile/Web Testing
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ISTQB-Certified Senior QA Engineer with 4+ years of experience in delivering scalable mobile (Android, iOS, and Tablet) and web applications. Strong focus on AI- Assisted QA, automation, and SDET practices to improve release quality and reduce defect leakage. Experienced in leveraging AI tools for test case generation, defect analysis, and test optimization. Proven ability to accelerate testing cycles, enhance coverage, and collaborate effectively in Agile environments.
Anna University
MBA
August 1, 2020 – June 30, 2022
Anna University
BE
August 1, 2013 – June 30, 2017
Leadership Boulevard Pvt Ltd
Senior Software Test Engineer (STE-III)
January 1, 2022 – Present
India
LEAD Student & Teacher Applications
January 1, 2022 – June 1, 2026
Owned end-to-end QA for high-traffic applications used by 1.4M+ users. Ensured seamless cross-platform functionality across mobile and web systems.
Sales Assistant Tool (SAT) & PD Deal Calculator
January 1, 2022 – June 1, 2026
Validated complex pricing, discount workflows, and financial calculations. Prevented revenue-impacting defects through strong validation strategies.
ISTQB Certified Tester – Foundation Level
ISTQB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across EdTech, E-commerce, and Fintech domains, coupled with their involvement in projects for 1.4M+ users, indicates adaptability and experience with diverse business contexts. Their certifications and achievements, including multiple promotions and awards, suggest a proactive and high-achieving individual. The focus on AI-driven QA aligns with modern technological trends, indicating a forward-thinking approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, participation in ceremonies, and collaboration with cross-functional teams. Their ability to track QA metrics and contribute to test planning indicates a structured approach to quality assurance. The use of AI tools for test optimization and defect analysis suggests an innovative and efficiency-driven mindset.