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QA Engineer with 5+ years in AI-Driven Testing & Agile Delivery
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Assessing your cultural and operational fit
Results-driven QA Engineer & Scrum Master with 5+ years of experience in manual testing, Agile delivery, and AI-driven quality engineering. Proven expertise in functional, API, and cloud testing (AWS) along with leveraging Generative AI tools (ChatGPT, AWS Bedrock) for test optimization, defect analysis, and productivity enhancement. Skilled in AI-powered test case generation, log analysis, RCA, and Agile automation support, improving testing efficiency and reducing defect leakage. Strong ability to drive Agile ceremonies, stakeholder collaboration, and continuous improvement.
Uttarakhand Technical University
Bachelor of Technology · Mechanical Engineering
August 1, 2013 – June 30, 2017
Applify Tech
QA Engineer | Scrum Master
April 1, 2024 – Present
Mohali, Punjab, India
Illuminz
QA Engineer | Agile Team Contributor
August 1, 2020 – March 1, 2024
Mohali, Punjab, India
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Career Essentials in Business Analysis
Microsoft and LinkedIn
June 1, 2026 – Present
Career Essentials in Project Management
Microsoft and LinkedIn
June 1, 2026 – Present
Certified Scrum Master
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple domains and their dual role as QA Engineer and Scrum Master suggest adaptability and a proactive approach to team collaboration and process improvement. Their embrace of AI tools for efficiency and quality aligns with an innovative and forward-thinking culture. The certifications in AWS, Business Analysis, Project Management, and Scrum Master indicate a commitment to continuous learning and professional development, which is a strong cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and leadership skills through their Scrum Master role, facilitating Agile ceremonies, managing defect lifecycles, and monitoring Agile metrics. Their collaboration with stakeholders and cross-functional teams, enhanced by AI tools for communication, indicates good interpersonal and operational fit. The focus on data-driven insights and continuous improvement aligns well with modern development practices.