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QA Engineer with 4+ years in Manual and Automation Testing, AI/LLM, and API testing
Experienced in creating and validating datasets for AI/LLM-based systems, ensuring accuracy and reliability of model responses. Skilled in analyzing conversational flows, identifying gaps, and improving chatbot performance. Hands-on experience in end-to-end testing of AI agents, including functional validation, response evaluation, and edge case handling. Worked on Software quality assurance Process AGILE methodology & Prepared AGILE Sprint Test Plan. Good Knowledge in Python OOPS Concept & its Framework. Worked on Selenium with Java for web-based application by using locators. Good Knowledge in various Frameworks like Data-Driven Framework, Cucumber Framework. Worked on Playwright Automation with Typescript. Responsible for Test Case Writing, Execution, Bug Tracking and Reporting. Experience in analyzing business specification documents, developing Agile Sprint test plans. Performed Functional, Integration and Retesting, Regression, Smoke. Enough exposure to all stages of SDLC & Knowledge over whole Software Test Life Cycle (STLC). Mapped business requirements with test case by preparing Traceability matrix. Work closely with other testers and developers with bug fixes and Defect Analysis Using defect management tool such as JIRA, Issue Manager. Participated in Scrum meetings to discuss the Test status report. Strong experience in issue finding, analysis, tracking. Experience in Application Programming Interface (API) testing using Postman tool, Rest Assured Automation (CRUD). Wrote SQL queries to access the data from the database tables to ensure data integrity. Coordinating and communicating with BA team for better understanding of functional requirements for developing quality test cases, and with development team and problem-solving abilities. A results-driven, customer-focused, articulate and analytical Software test Engineer. Self-motivated, Pro-Active and Quick learner of new concepts and technologies.
Pune University
Bachelor of Engineering
N/A – Present
Vishwayon Software Pvt Ltd.
Manual Automation Test Engineer
June 1, 2022 – Present
India
Project #1: Banking (Capital Market/Digital Invest Banking)
June 1, 2022 – Present
Functional Testing: To validate core functionality such as trade life cycle management, portfolio management, market data integration. Ensuring accuracy of complex calculations like risk modeling, pricing algorithms for stocks, bonds, derivatives. Performance testing: Validates the system's ability to handle peak transaction volumes during market opening or significant events. Security Testing: Validate unauthorized access to trading systems or sensitive data. Integration Testing: Ensure seamless integration with market data providerspayment Gateway. Ensure intuitive interfaces for traders, analysts, and portfolio managers. Regulatory compliance testing: Validate adherence of financial regulations and reporting. Roles & Responsibilities: Performed functional and non-functional testing. Analyzed the Business Requirements Document, created the detailed test design for new functionality. Performed smoke, sanity, regression, and retesting. In Agile environment, attended daily stand-up meetings, reviewed user stories. UI Automation using selenium web-driver, BDD framework. Locate web elements using X-Path expressions. Preparation of Defect report and Defect tracking.
Project #2: E-Commerce
June 1, 2022 – Present
E-Commerce websites are the digital portals that facilitate E-Commerce. Here basically any user can buy products through website which is the activity of electronically buying or selling of products online services over the Internet. This application is the one-stop solution to cater to the needs of customers and shopping though websites. Roles & Responsibilities: Analysis of Requirement and Functional Specifications. Test Planning and test scenario development. Writing and executing the test cases using Jira. Test case reviewing and verifying testing artifacts. Involved in Functional Testing, Regression Testing, Sanity, Smoke, UI, compatibility Testing. Followed Agile/Scrum Methodologies for all the project activities. Basic database testing using MySQL.
Project #3: CRM Project (Insurance Domain)
June 1, 2022 – Present
CRM (Customer Relationship Management) system developed for an Insurance client to manage customer data, policy records, claims, and communication tracking. The project focuses on improving data accuracy, reducing manual effort, and enhancing customer engagement through automation and analytics dashboards. Roles & Responsibilities: Involved in functional and regression testing of core CRM modules such as policy creation, claim processing, and renewal workflows. Validated data integrity between front-end and back-end (SQL Database). Performed API testing using Postman for policy and customer endpoints (CRUD operations). Designed and executed manual and automation test cases using Selenium WebDriver. Logged and tracked defects using JIRA, coordinated with developers for quick resolutions. Participated in daily Agile stand-ups, sprint planning, and retrospective meetings. Conducted sanity and smoke testing during deployment cycles. Verified role-based access controls for multiple user profiles (Agent, Admin, Customer). Contributed to creation of test documentation, reports, and coverage matrices. Experienced in creating and validating datasets for AI/LLM-based systems. Ensuring accuracy and reliability of model responses of AI Agents & Chatbot. Skilled in analyzing conversational flows, identifying gaps, and improving chatbot performance.
Cultural Fit Analysis
The candidate has experience across diverse domains including Banking (Capital Market/Digital Invest Banking), E-Commerce, and Insurance (CRM), indicating adaptability to different industry contexts. Their involvement in Agile environments and collaboration with various teams suggests a good fit for modern development cultures. The breadth of tools and testing types covered also points to a versatile professional. However, without psychometric test results, a deeper cultural fit analysis is limited.
Soft Skills & Operational Fit
The candidate appears to be a results-driven, customer-focused, articulate, and analytical Software Test Engineer. They are self-motivated, proactive, and a quick learner, which aligns well with dynamic QA environments. Their experience in coordinating with BA and development teams indicates good collaboration skills. The psychometric and English test scores are not available, so a full assessment of work attitude, stress handling, and team collaboration cannot be made.