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QA Engineer with 3+ years in Web & Mobile Testing
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Software Test Engineer with 3+ years of experience in testing Web and Mobile applications (iOS, Android, Web) across large-scale consumer platforms. Strong expertise in functional, regression, smoke, sanity, integration, usability, and cross-platform testing, along with experience in Generative AI Testing. Proven ability to design comprehensive test cases from business requirements, identify critical defects, perform root cause analysis (RCA), and ensure high-quality releases in Agile/Scrum environments. Recognized for improving test coverage, reducing defect leakage, and collaborating effectively with cross-functional teams.
University BDT College of Engineering
B.E. (Bachelor of Engineering) · Engineering
N/A – Present
Jawahar Navodaya Vidyalaya, Bellary
PUC
N/A – Present
Jawahar Navodaya Vidyalaya, Bellary
SSLC
N/A – Present
Indium Software Pvt Ltd
Software Test Engineer
October 1, 2022 – Present
Hyderābād, Telangana, India
Uber Rider
June 1, 2023 – June 1, 2026
Uber Rider app enables users to book rides, track drivers, manage payments, access safety features, and navigate in real time across multiple ride categories. Validated booking flows, surge pricing, cancellations, map navigation, payments, in-app communication, and ride history. Collaborated with bug triage teams to review, prioritize, and assign defects for faster resolution. Conducted Root Cause Analysis (RCA) for critical defects to improve product reliability. Validated ride booking flows, driver matching, surge pricing, cancellations, payments, and ride history. Conducted regression testing during frequent releases and hotfixes. Performed usability and UI testing to ensure a smooth user experience. Used Generative AI tools to assist in test case creation from requirements. Analyzed existing test cases using AI assistance to identify coverage gaps.
Uber Eats
October 1, 2022 – June 1, 2023
Uber Eats is a large-scale online food ordering and delivery platform enabling customers to order meals, track delivery, manage payments, and access 24/7 service. Performed manual testing on iOS, Android, and Web applications, focused on functionality, UI consistency, and end-to-end workflow validation on food ordering, cart management, payments, and order tracking. Designed and executed test cases and test scenarios based on business requirements, customer workflows, and edge cases. Performed Functional, Regression, Integration, Smoke, and System Testing. Created and maintained the Requirements Traceability Matrix (RTM), ensuring complete coverage. Logged, tracked, and retested defects using Jira, ensuring timely closure. Actively participated in Agile ceremonies, including Sprint Planning, Stand-ups, Reviews, and Retrospectives. Used environment variables and the collection runner for regression execution. Performed API workflow validation. Collaborated with developers, product owners, and QA leads to ensure timely releases. Generated detailed test summary reports, defect reports, and daily execution updates.
Selenium with Java – Automation Testing Certification
Unknown
June 1, 2026 – Present
Manual & API Testing – Certified
Unknown
June 1, 2026 – Present
SQL - Certified
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with large-scale consumer platforms (Uber Eats, Uber Rider) indicates an ability to work in fast-paced, high-impact environments. Their involvement in Agile teams and collaboration with various stakeholders suggests a team-oriented and communicative approach. The awards received for exceptional performance and problem-solving further support a positive cultural fit, demonstrating dedication and a results-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile ceremonies, collaboration with cross-functional teams (developers, product owners, QA leads), and detailed reporting. Their experience in bug triage and Root Cause Analysis highlights problem-solving and analytical skills. The use of Generative AI tools suggests adaptability and a proactive approach to improving efficiency.