QA Engineer with 2+ years in GenAI Product Testing & BFSI domain.
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QA and Production Support Engineer with 2.5+ years of specialised experience across BFSI (Loan Origination Systems) and GenAI product domains. Proven track record in functional testing, UAT, and third-party API testing (PAN, Aadhaar, CRIF/CIBIL) for KYC and credit bureau integrations. Hands-on experience testing AI-powered products including LLM accuracy validation, OCR-based data extraction, prompt testing, and bot behaviour verification. Adept at SQL-based data validation, JSON/XML log analysis, and managing end-to-end test coverage. Known for bridging QA, development, and business stakeholders to ensure timely, audit-ready releases with zero critical escapes.
WBUT University
B.Tech · Electronics & Communication Engineering
August 1, 2018 – June 30, 2022
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Performance Testing with Locust
Coursera
January 1, 2024 – Present
Selenium WebDriver with Python
Udemy
January 1, 2023 – Present
Basics of API Testing
Eduonix
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience spans BFSI, e-commerce, e-learning, and AI product domains, indicating adaptability and a broad interest in different industries. Their roles have involved significant cross-functional collaboration (QA, dev, business, DevOps), suggesting a team-oriented mindset. The focus on audit-ready reports and compliance aligns with structured, quality-driven environments. The diversity of projects and tools used (JMeter, Selenium, Postman, SQL, JIRA, Redmine) indicates a willingness to learn and apply various technologies, contributing positively to cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills, evidenced by their ability to diagnose root causes in complex multi-system environments and investigate production issues. They are a strong communicator, experienced in stakeholder management, RCA reporting, and cross-team coordination. Their detail-oriented approach ensures meticulous test coverage, focusing on edge cases and compliance-critical flows. These attributes suggest a good operational fit for a senior QA role requiring collaboration and thoroughness.