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QA Automation Engineer with 4+ years in AI/LLM-based Testing & Python/TypeScript Automation
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AI Quality Engineer with 4+ years of experience in Manual, Automation, API, and AI/LLM-based testing of enterprise web applications. Proven expertise in designing and executing LLM evaluation strategies including Accuracy, Hallucination, Tone, and Relevance metrics. Skilled in Prompt Engineering, Python/TypeScript automation, Playwright/Selenium, REST API testing, and CI/CD integration (Jenkins). Hands-on experience with GenAI tools, RAG concepts, and AI-driven test generation and self-healing automation. Recently upskilled in N8N workflow automation.
Maharana Pratap Engineering College
B.Tech · Computer Science & Engineering
August 1, 2018 – June 30, 2022
Xceedance Consulting India Pvt Ltd
AI Quality Engineer / Quality Analyst L2
March 1, 2025 – Present
Gurgaon, Haryana, India
Xceedance Consulting India Pvt Ltd
Quality Analyst L1
January 1, 2022 – February 28, 2025
Gurgaon, Haryana, India
Maps Project
March 1, 2025 – June 1, 2026
Developed and executed automated test cases for process automation modules using Katalon Studio and Selenium WebDriver. Integrated API automation into regression suites to improve end-to-end test coverage. Applied Prompt Engineering techniques to validate AI-generated outputs within the application for accuracy and relevance.
Novidea (SRG)
July 1, 2022 – December 31, 2024
Built a robust automated regression test suite for insurance workflows using Playwright and JavaScript/TypeScript. Automated validation of policy generation, claim processing, and end-to-end data accuracy - significantly reducing manual testing effort. Performed API endpoint testing using Postman collections to ensure efficient token usage and proper error handling in responses.
Salesforce Administrator
Salesforce
June 1, 2026 – Present
EICT Certificate in C++
IIT Kanpur
June 1, 2026 – Present
Selenium in Python
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including AI-integrated insurance applications and general web application testing, shows adaptability. Their continuous upskilling in areas like N8N workflow automation and AI tools indicates a growth mindset. The blend of traditional QA automation with cutting-edge AI quality engineering aligns well with innovative and forward-thinking teams. The candidate's experience with various tools and technologies suggests a willingness to learn and contribute across different tech stacks.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to problem-solving, evidenced by reducing defects and improving test coverage. Their work with AI/LLM evaluation and prompt engineering suggests an analytical mindset and adaptability to emerging technologies. The integration of CI/CD pipelines indicates an understanding of operational efficiency and continuous delivery.