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QA Automation Engineer with 4+ years in Automation Testing & Mobile Testing.
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Assessing your cultural and operational fit
Quality Assurance Engineer with 4+ years of experience in Automation Testing, Manual Testing, Mobile Testing and API Testing in enterprise environments. Skilled in Selenium (Java), Playwright (TypeScript), and Cucumber with strong expertise in Android and cross-device testing. Proven track of identifying critical defects, improving test coverage and ensuring product reliability for large-scale applications including Google Meet and Google Store.
Sir M. Visvesvaraya Institute of Technology (VTU Belgaum)
B.E · Information Science and Engineering
August 1, 2017 – July 1, 2021
Delhi Public School
Class 12th · AISSCE
May 1, 2015 – April 1, 2016
Accenture
Google Better Together: (Android and Cross Device Testing)
February 1, 2023 – Present
Bengaluru, Karnataka, India
Accenture
Google Store (G-Store):E-Commerce website
July 1, 2022 – February 1, 2023
Bengaluru, Karnataka, India
P3 proficiency level in Selenium
Unknown
June 1, 2026 – Present
Learn Python on Datacamp
Datacamp
June 1, 2026 – Present
Learn How to Program with C++ on Pluralsight
Pluralsight
June 1, 2026 – Present
Data Science by NPTEL
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked on diverse projects within Accenture, including mobile/cross-device testing for Google Better Together and e-commerce website testing for Google Store. This project diversity, coupled with experience in both manual and automation testing across different platforms (Android, Web, OS, Browsers), suggests adaptability and a broad skill set. The certifications in various programming languages (Python, C++) and data science indicate a continuous learning mindset, which is a positive cultural attribute. The candidate's experience with large-scale Google projects implies an ability to work within structured, high-performance environments.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest a proactive approach to bug identification and resolution, as well as client appreciation (Kudos points). This indicates a strong work ethic and client-focused mindset. The ability to work on large-scale applications like Google Meet (600+ Million users) and Google Store demonstrates an aptitude for handling complex, high-traffic systems. The candidate's role as a 'Test Automation Developer' aligns well with the 'QA Automation Engineer' target role, indicating a good operational fit.