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QA Automation Engineer with 4+ years in E-Commerce and Generative AI applications
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Assessing your cultural and operational fit
Quality Assurance Engineer with 4+ years of hands-on experience across the full STLC and SDLC for E-Commerce and Generative AI applications. Delivered zero critical production defects, reduced regression effort by 20%, and automated 500+ test cases using Selenium and Tricentis Tosca. Google Cloud Certified with hands-on GenAI testing experience. Skilled in risk-based testing, test strategy, defect lifecycle management, UAT coordination, and Agile/Scrum delivery.
Shri Vaishnav Institute of Technology & Science, Indore
B.Tech
August 1, 2017 – June 30, 2021
Microsoft
Project: Microsoft - Vendor Digital Sales (Generative AI)
January 1, 2025 – Present
India
Signet
Project: Signet - E-Commerce Platform (8 Websites)
February 1, 2022 – December 1, 2024
India
Accenture
Quality Engineering Analyst
November 1, 2021 – Present
Indore, Madhya Pradesh, India
Google Cloud Certified – Associate Cloud Engineer
June 1, 2026 – Present
Reinvention with Agentic AI
Accenture / Credly
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across Microsoft, Signet, and Accenture, working on diverse projects like Generative AI applications and high-traffic e-commerce platforms, indicates adaptability and a broad range of experiences. Their involvement in promoting shift-left testing and integrating QA processes into the SDLC suggests a proactive and collaborative approach, which aligns well with modern development cultures. The certifications in Google Cloud and Agentic AI show a commitment to continuous learning and staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through managing defect lifecycles, coordinating release cycles, and organizing sprint demos. Their collaboration with product managers, developers, and business stakeholders in Agile/Scrum ceremonies indicates good teamwork and communication. The ability to mentor junior team members suggests leadership and knowledge transfer capabilities. The candidate's focus on process improvements and risk-based prioritization aligns with operational efficiency.