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QA Engineer with 2+ years in Software Testing & Quality Assurance across Banking and Financial Servi
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Motivated Software Engineer in Test with 2+ years of experience in Software Testing and Quality Assurance across Banking and Financial Service domain. Skilled in Functional Testing, Regression Testing, Integration Testing, API Testing, Database Testing, Defect Tracking, and Agile methodologies. Experienced in analyzing requirements, designing and executing test cases, validating business processes, and ensuring software quality. Expertise in end-to-end testing (UI, API, and Database), along with hands-on experience in Python and Selenium. Strong collaboration and problem-solving skills with a focus on delivering reliable, high-quality software solutions that meet business requirements.
Biju Patnaik University of Technology
Bachelor of Technology · Computer Science & Engineering
N/A – Present
Persistent Systems
Software Test Engineer
January 1, 2024 – Present
India
Support Automation Engineering (Offshore-PSL)
June 24, 2026 – Present
Worked in Support Automation Engineering, focusing on designing, testing, and ensuring the quality of automated support systems. Contributed to improving system reliability, validating workflows, identifying defects, and collaborating with cross-functional teams to enhance service efficiency. Performed functional, regression, smoke, and production support testing, and participated in build validations, branch cuts, and deployments to ensure timely, high-quality releases. Analysed requirements to design test strategies and executed manual and automated test cases for functional, regression, and system testing. Developed automation scripts to improve efficiency and reduce manual effort. Performed smoke, production support, and deployment testing, including build verification and release activities. Identified and tracked defects, collaborating with development and DevOps teams for quick resolution. Ensured quality compliance through SDLC/STLC practices, reported test metrics, and contributed to continuous process and automation improvements.
Fraud Detection and Prevention for a Leading Global Bank
June 24, 2026 – Present
A leading multinational bank operating in over 30 countries faced a growing threat of financial fraud in its digital banking channels, with rising cases of fraudulent transactions in online and mobile banking. Traditional manual fraud detection processes were slow, reactive, and error-prone, resulting in financial losses, reputational risks, and poor customer experiences. To overcome these challenges, the bank implemented an AI-driven fraud detection platform powered by machine learning (ML), advanced analytics, and real-time data integration. The system analyzed historical transaction data along with live inputs such as user behavior, device usage, transaction types, and location patterns. ML algorithms were designed to identify subtle anomalies that could signal fraudulent activity, even when patterns were new or evolving. A real-time dashboard enabled fraud analysts to monitor flagged transactions instantly and take immediate action, while a continuous feedback loop allowed the model to learn from analyst decisions, improving detection accuracy and precision over time. Analyzed business requirements and prepared test cases based on functional specifications. Executed Functional, Regression, Smoke, Sanity, and Integration Testing to validate application functionality. Performed API testing using Postman and database validation using SQL queries. Identified, logged, tracked, and retested defects using Jira and HP ALM. Supported automation testing using Python, Selenium, and Pytest while collaborating with Agile teams to ensure quality deliverables.
GenAI Foundation
Unknown
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience in a global bank and support automation engineering indicates adaptability to diverse project types and industries. Their involvement in Agile teams and collaboration with development/DevOps teams suggests a team-oriented approach. The breadth of skills across manual and automation testing, along with exposure to CI/CD, aligns with modern QA practices, indicating a good cultural fit for dynamic and evolving technical environments.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, as evidenced by their work with cross-functional teams and Agile environments. Their objective highlights problem-solving skills and a focus on delivering reliable, high-quality software solutions. The project descriptions indicate an ability to analyze requirements, design test strategies, and contribute to continuous process improvement, suggesting a proactive and quality-oriented operational fit.