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Senior QA Enginneer with 4+ years in Manual, API & Mobile Testing across Enterprise & Insurance doma
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Results-driven Senior QA Test Engineer with 4.5 years of experience delivering quality across enterprise web, mobile (Android & iOS), and API-based applications. At HCLTech, validated pre-release builds for Meta's flagship platforms — Instagram, WhatsApp, Facebook, and Messenger — across 10+ device models, contributing to stable, on-schedule public launches with no critical defects escaping to production. Authored 1,000+ test cases across insurance, legal tech, and global consumer app domains. Experienced in leveraging AI tools (ChatGPT & Watermelon-AI) to accelerate test scenario generation and regression cycles across complex multi-domain projects.
SRM Institute of Science and Technology, Ghaziabad
B.Tech · Computer Science & Technology
August 1, 2017 – June 30, 2021
The SD Vidhya School, Noida
Senior Secondary Examination
June 1, 2016 – May 31, 2017
Vishwa Bharti Public School, Greater Noida
Higher Secondary Examination
June 1, 2014 – May 31, 2015
Crestech Software
Senior Test Engineer – Functional
February 1, 2026 – Present
Noida, Uttar Pradesh, India
HCLTech
Senior Software Engineer- QA
November 1, 2023 – February 1, 2026
Noida, Uttar Pradesh, India
Conduent Business Services
IT Testing Engineer – 1
September 1, 2021 – November 1, 2023
Noida, Uttar Pradesh, India
Cultural Fit Analysis
The candidate's experience spans diverse domains including insurance, legal tech, and global consumer social platforms (Meta ecosystem), indicating adaptability to different product contexts. Their work in large, cross-geographical teams (HCLTech) suggests a capacity for collaboration in diverse environments. The use of AI tools for efficiency aligns with a culture of continuous improvement and embracing new technologies. The candidate's focus on ensuring stable, regression-free builds for billions of users demonstrates a commitment to quality and user experience, which is a strong cultural fit for a senior QA role.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, having worked in large cross-functional teams and coordinated with development teams for defect resolution. Their proactive use of AI tools suggests an innovative and efficiency-driven mindset. Experience in Agile/Scrum environments indicates adaptability to modern development methodologies. The candidate's ability to manage defect lifecycles and contribute to root-cause analysis points to strong problem-solving and operational discipline.