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QA Automation Engineer with 4+ years in Manual, Automation, API, and Mobile Testing, leveraging AI-a
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QA Automation Engineer with 4+ years of experience in Manual Testing, Automation Testing, API Testing, Mobile Testing, Database Testing, and Salesforce Testing within Healthcare and Insurance domains. Strong expertise in Test Planning, Test Case Design, Test Execution, Defect Management, and Agile methodologies. Experienced in Performance Testing, CI/CD integration, and AI-assisted testing to enhance test coverage and defect prediction.
Laxmi Narain College of Technology
Bachelor of Engineering
N/A – Present
Capgemini
Associate Consultant
February 1, 2022 – Present
Pune, Maharashtra, India
Healthcare / Insurance Domain
February 1, 2022 – June 1, 2026
Analyzed business requirements and prepared detailed Test Scenarios and Test Cases, improving requirement coverage by ~25%. Performed End-to-End Testing across Web, API, Mobile, and Database layers, reducing production defects by ~30%. Validated complex Insurance workflows and Salesforce-based business rules, increasing functional accuracy by ~20%. Performed Performance Validation and identified scalability risks prior to release, improving system stability by ~15-20%. Applied AI-assisted testing techniques to optimize regression suite, improving regression efficiency by ~35% and reducing manual effort.
Azure Fundamentals (AZ-900)
Microsoft Certified
June 1, 2026 – Present
Azure AI Fundamentals (AI-900)
Microsoft Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across diverse testing types and methodologies, coupled with their certifications in Azure Fundamentals and AI Fundamentals, indicates a proactive learning attitude and a broad technical interest. Their involvement in AI-assisted testing suggests an openness to adopting new technologies and improving processes, which aligns well with a culture of innovation and continuous improvement. The focus on reducing defects and improving efficiency in projects also points to a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through working with cross-functional teams. Their experience in Agile environments suggests adaptability and a structured approach to testing. The use of AI-assisted testing indicates a proactive and innovative mindset. The project descriptions highlight a focus on improving efficiency and reducing defects, aligning with operational excellence.