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QA Automation Engineer with 3+ years in API automation & test framework development.
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Assessing your cultural and operational fit
QA Automation Engineer with 3.5+ years of experience in API automation, test framework development, regression testing, data validation, and performance testing for enterprise applications. Strong hands-on expertise in Python, SQL, Snowflake, CI/CD pipelines, and scalable QA solutions. Proven success in reducing manual effort, increasing test coverage, improving release quality, and accelerating delivery in Agile environments.
NRI Institute of Technology
B.Tech · Information Technology
August 1, 2019 – June 30, 2022
Wipro
QA Automation Engineer
September 1, 2022 – Present
India
AI-Powered API Test Suite
September 1, 2022 – June 1, 2026
Developed a Streamlit-based GenAI tool to generate API test cases. Reduced test case creation time by 87.5% (2 hours to 15 minutes per API). Generated 500+ structured test cases across 20+ APIs with auto-generated Behave feature files. Integrated BehaveX test reporting, reducing debugging time by 40%.
BRD to Test Cases Generator
September 1, 2022 – June 1, 2026
Developed a GenAI solution to convert Business Requirement Documents into structured, traceable test cases. Improved requirement coverage by mapping BRD clauses to executable scenarios. Generated both readable test cases and Behave feature files for immediate automation use. Reduced BA-to-QA handoff effort and minimized missed edge cases.
AWS Certified Cloud Practitioner
Amazon Web Services
June 1, 2026 – Present
REST API Testing with Python - Requests & Pytest
Udemy
June 1, 2026 – Present
Playwright PYTHON Automation Testing - From Zero to Expert
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with GenAI solutions and continuous improvement (reducing test design time, improving debugging) indicates an innovative and proactive mindset. Their involvement in Agile ceremonies and focus on improving release confidence suggests a collaborative and quality-driven approach, which aligns well with a dynamic engineering culture. The breadth of skills across automation, data validation, and performance testing shows versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the development of GenAI accelerators and Pandas-based utilities. Their experience in Agile environments suggests good team collaboration and adaptability. The focus on efficiency and reducing manual effort aligns well with operational excellence.