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QA Automation Engineer with 9+ years in Manual & Automation Testing, skilled in AI-driven tools and
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Assessing your cultural and operational fit
Senior QA Engineer with over 9+ years of hands-on experience in testing enterprise-scale web and mobile applications. Strong expertise in Manual Testing fundamentals including Functional, Integration, Regression, Exploratory, and UAT testing. Actively leverage AI-driven tools such as ChatGPT and Perplexity to assist with test scenario design, edge-case identification, requirement analysis, and exploratory testing ideas, improving coverage and efficiency. Extensive experience tracing end-to-end API flows using application logs and validating service-to-service interactions in microservices-based systems. Proven track record of owning QA deliverables in Agile environments and collaborating closely with developers, business analysts, and product teams.
MIT, Chh. Sambhaji Nagar
B.Tech · Computer Science
August 1, 2010 – June 30, 2014
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Cultural Fit Analysis
The candidate's experience across diverse domains (Healthcare, Insurance, eLearning, E-commerce, Retail, Manufacturing) and roles (Senior QA Engineer, Scrum Master, Test Analyst, Process Analyst) indicates adaptability and a broad understanding of different business contexts. Their involvement in mentoring and facilitating Agile ceremonies suggests a collaborative and team-oriented approach, which aligns well with a positive cultural fit. The proactive adoption of AI tools also points to a growth mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through their experience as a Scrum Master, mentoring QA team members, and consistent collaboration with cross-functional teams. Their ability to facilitate Agile ceremonies and manage defects indicates good operational fit within a structured development environment. The use of AI tools for various QA activities also suggests a proactive and innovative mindset.