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QA Automation Engineer with 3+ years in Playwright, API & AI-Driven Testing
I am a results-driven Software Quality Assurance Engineer with strong expertise in both manual and automation testing, specializing in Playwright, API testing using Postman, and comprehensive end-to-end validation. Have a proven ability to design scalable test strategies, uncover high-impact defects, and ensure robust, high-quality software delivery across all phases of SDLC and STLC. Proficient in modern tools and ecosystems including Azure DevOps tool, TOSCA, Docker, and VS Code, with hands-on exposure to CI/CD-oriented workflows and actively involved in advancing the capabilities in AI-driven testing and intelligent automation frameworks to enhance testing efficiency, coverage, and reliability.
Rajarajeshwari Engineering College
Master of Computer Application · Computer Application
August 1, 2020 – June 30, 2022
AES NATIONAL DEGREE COLLEGE
Bachelor of Computer Applications · Computer Applications
August 1, 2017 – June 30, 2020
NTT DATA
Software Quality Assurance Engineer
August 1, 2022 – Present
Bengaluru, Karnataka, India
Asset Tracking And Analysis
August 1, 2022 – Present
Tested the source data accuracy, data consistency and data completness of every test object of the project. Designed comprehensive test cases covering RBAC scenarios and security compliance. Raised and tracked 143 bugs, significantly contributing to improving product stability and reliability. Conducted portal, mongodb and API level testing for data accuracy. Maintained a portal to manage the network devices for clients, ensuring complete lifecycle tracking of each device.
Email To Ticket
August 1, 2022 – Present
Automated the conversion of client-reported issues from email into structured tickets using E2T. Conducted functional testing of ticket creation (ICM & SVR), validated ticket accuracy, SLA adherence, correct classification of tickets, and correct team assignment. Actively involved in enhancement calls, delivering quality-focused inputs to support continuous product improvement. Validated whether all the mandatory fields in the ticket has been filled properly by automation and handing over the ticket to the right team. Validated whether all the mandatory fields in the ticket has been filled properly by automation and handing over the ticket to the right team.
Technology Adoption And Insights
August 1, 2022 – Present
It is a separate dashboard which provides a unified view of how clients are adopting and progressing through SDI technologies starting with cisco. The word SDI technologies represents different services providing it through different dashboards to the client. Tested all modules of the dashboard, including the Cisco Architecture Overview widget, Strategic Value Alignment widget, and Adoption Rate widget. Identified and reported over 65 bugs within a short period, consistently following up with developers to ensure accurate root-cause analysis. Actively contributed to improving product quality and strengthening confidence that such issues will not recur in future enhancements. This dashboard helped the end users that how efficiently they are using the cisco SDI technology, and they find out the ways to use cisco SDI technology dashboard in a more better and efficient way. We also integrated the AI Agent to this application where I have asked multiple questions to check the data accuracy, data completeness and data consistency of the response. Trained the LLM models in a proficient way not to provide hallucinate answers every time. Validated all structured and unstructured questions of the portal, So many end users of the portal were happier where they can complete their tasks without having human assistance every time for the smaller tasks and also it saved their time in terms of their daily work. Many end users had that urge to show their portal with accurate data and with beautiful representation to their clients along with AI agent responses. Users had the opportunity to represent their issues in the comment box by clicking on dislike button of the response. After the collection of all the comments, the agent will be continuously trained and improved to give more better answer for the next time.
Outcome Success Plan
August 1, 2022 – Present
It is a separate dashboard where the results of all the SDI technologies are shown in a consolidated view and their outcomes are viewed with respective KPI's that should be achieved in every financial year and also integrated the AI agent to the dashboard. I was part of testing of the enhancements of the project and strived to provide the better quality product. I have tested all the AI agent with all various types of questions and co-ordinated with requirements team to ensure the data accuracy of the responses from the agent.
Ticket Quality Management
August 1, 2022 – Present
It is a separate dashboard where the results of all the SDI technologies are shown in a consolidated view and their outcomes are viewed with respective KPI's that should be achieved in every financial year and also integrated the AI agent to the dashboard. I was part of testing of the enhancements of the project and strived to provide the better quality product. I have tested all the AI agent with all various types of questions and co-ordinated with requirements team to ensure the data accuracy of the responses from the agent.
F5 Uploads
August 1, 2022 – Present
Verified large file uploads, configuration validation rules, and rollback functionality. Identified edge cases related to file parsing and version mismatches. Ensured compatibility across multiple browsers and environments. Collaborated with DevOps for deployment-related test coverage.
Cisco Devnet Associate
Cisco
June 1, 2026 – Present
ISTQB Foundation Certificate
ISTQB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience shows diversity in application types (asset tracking, email-to-ticket, dashboards, file uploads) and involvement in AI-driven testing, which aligns with modern technological trends. The role at NTT DATA as a Software Quality Assurance Engineer directly matches the target role. The candidate's self-description highlights being 'results-driven' and having a 'growth mindset,' which are positive indicators for cultural fit. However, the resume lacks explicit details on team collaboration beyond participation in meetings, and the project descriptions are somewhat repetitive in places, which could be improved for clearer communication of individual contributions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through bug identification and root-cause analysis. Collaboration with cross-functional teams (development, project management, requirements) is evident. The ability to manage multiple activities under pressure and adapt to tight release cycles suggests good time management and resilience. Participation in Agile ceremonies indicates a good fit for iterative development environments. The candidate's involvement in AI agent validation shows an analytical approach to new technologies.