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QA Engineer with 4+ years in Modern Web, Mobile, and AI Application Testing
QA Engineer with 4 years of hands-on experience in Modern Web and Mobile Application Testing with Manual and Automation skills. Conducted end-to-end testing of LLM-based applications including prompt engineering validation, hallucination detection, response consistency, and conversational UI/UX testing, Functional, Regression, Integration and End to End Testing. Skilled in Selenium WebDriver with Java, Playwright using JavaScript, Postman for API Validation, Proficient in SQL for backend data testing with strong expertise in testing AI Commerce-driven workflows such as AI Agent Testing in Concierge and Digital Broker Applications. Experience in Testing HealthCare Application for managing Health Insurance claim processing. Adept at Writing clear, detailed test cases and edge cases for Application Optimization and ensuring end-to-end software quality in Agile/Scrum environments. Strong knowledge of the Defect life cycle, test reporting, and collaboration with cross-functional teams to deliver high-quality releases.
JSPM's Jayawantrao Sawant College of Pharmacy and Research
Masters of Pharmacy · Pharmaceutics
August 1, 2019 – June 30, 2021
JSPM's Charak College of Pharmacy and Research
Bachelor's of Pharmacy · Pharmacy
August 1, 2015 – June 30, 2019
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Cultural Fit Analysis
The candidate's experience spans diverse domains (AI, Health Insurance, EMR) and technologies (Java, JavaScript, SQL, various testing tools), indicating adaptability and a broad skill set. Their continuous engagement in QA roles, including AI validation, aligns well with a forward-thinking and quality-driven organizational culture. The detailed descriptions of roles and responsibilities suggest a proactive and thorough individual.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical skills through detailed test case design and defect analysis. Their experience in collaborating with development and product teams for issue resolution indicates good teamwork and communication. The focus on compliance (HIPAA, AI guardrails) suggests a detail-oriented and responsible approach to quality assurance.