Koysul Amin
Quality Assurance Engineer with 12+ years of expertise in automated and manual testing for web, client-server, and Windows applications. Skilled in Agile and Waterfall methodologies, with hands-on experience in industry-standard tools like Selenium, LoadRunner, and Quality Center. Leverages AI-powered tools daily to enhance productivity, automate test generation, and optimize testing workflows. Proven ability to develop effective test plans and ensure high-quality software delivery through comprehensive testing, efficient scripting, and AI-assisted automation. Recognized for strong analytical, problem-solving, and communication skills, with a keen focus on optimizing testing efficiency through modern AI technologies.
Work Experience
Lead Software Test Engineer
- Developed and optimized Python and Pytest automated test scripts, focusing on functional, end-to-end, and regression testing across web and client-server applications.
- Built comprehensive automation framework for end-to-end testing and functional testing, validating complex data transformations between JSON payload to JSON and JSON to XML formats.
- Developed simulation APIs to mimic external applications for isolated testing environments, enabling comprehensive service virtualization and test automation.
- Implemented shift-left testing approach by creating functional tests that run within the main codebase as part of CI/CD pipeline, executing from pull request creation through production deployment.
- Conducted REST API testing and implemented service virtualization to simulate services, enabling isolated and efficient testing environments.
- Utilized Amazon AWS services to enhance test automation infrastructure, including provisioning of on-demand test environments.
- Led end-to-end and functional testing efforts across multiple releases, ensuring comprehensive test coverage.
- Performed performance testing using K6, monitoring system behavior under load to identify bottlenecks and improve application performance.
- Collaborated with cross-functional teams in Agile (SCRUM) environments, aligning on project requirements and resolving issues proactively.
- Leveraged AI tools daily to enhance productivity, including automated test case generation, intelligent code review, and AI-assisted debugging for faster issue resolution.
- Implemented AI-powered testing workflows to optimize test coverage analysis and generate comprehensive documentation automatically.
- Provided regular updates on automation progress, ensuring timely project delivery and adherence to quality standards.
Tools & Environment: Selenium, Python, Pytest, REST API, AWS, K6, Rally, CI/CD, JSON/XML Validation, AI-Assisted Development Tools
Software Engineer
- Verified business requirements and created comprehensive test cases using Microsoft Test Manager, executing both manual and automated tests to validate expected results.
- Designed and executed regression tests with Quick Test Professional (QTP), implementing data-driven tests for efficient test coverage.
- Actively participated in defect tracking and analysis meetings, collaborating with development teams to prioritize and resolve high-severity issues.
Tools & Environment: QTP, SQL Server, .NET, Windows 7, Visual Studio
QA Analyst
- Conducted end-to-end testing for global pharmacology applications, covering functional, GUI, backend, and regression testing.
- Documented and maintained traceability matrices in Quality Center, linking requirements with test cases and ensuring coverage of critical application functionalities.
- Provided detailed defect analysis and collaborated with developers for timely issue resolution, significantly reducing production defects and improving overall application quality.
Tools & Environment: Quality Center, Oracle SQL, HTML, Jira, SharePoint
Skills
Testing Tools & Frameworks
- Python & PyTest
- Automation Framework Development
- Selenium WebDriver
- Postman
- SoapUI
- K6 (Performance Testing)
- LoadRunner
Modern Testing Practices
- Shift-Left Testing
- CI/CD Integration
- API Simulation & Mocking
- Data Transformation Validation
- JSON/XML Testing
- Service Virtualization
AI & Productivity Enhancement
- AI-Assisted Test Generation
- Automated Documentation Creation
- Intelligent Code Review
- AI-Powered Debugging
- Prompt Engineering for QA
- Test Case Optimization with AI
- Daily Workflow Automation
Test Management
- HP Quality Center
- Rally
- Jira
- TFS
Programming
- Python
- Java
- JavaScript
- JSON
- SQL
- XML
- HTML
Databases
- Oracle
- DynamoDB
- Redis
- SQL Server
Servers
- Amazon AWS
- Oracle WebLogic Server
- Apache Tomcat
Operating Systems
- Windows
- Unix
- Linux
- Mac OS
Education & Certifications
Bachelor of Science in Telecommunications Engineering
Bachelor of Science in Technical Management
ISTQB Certification - Foundation Level (CTFL)
Key Testing Projects
Advanced Automation Framework & Shift-Left Testing
Comprehensive automation framework with CI/CD integration and shift-left testing approach.
- Built end-to-end automation framework using Python and PyTest for functional, regression, and data validation testing.
- Developed simulation APIs to mimic external applications, enabling isolated testing and comprehensive service virtualization.
- Implemented data transformation validation for complex JSON to JSON and JSON to XML conversions.
- Created functional tests integrated within main codebase, executing throughout CI/CD pipeline from pull request to production.
- Established shift-left testing methodology, identifying defects early in the development lifecycle.
- Built AWS-based test infrastructure with on-demand environment provisioning and K6 performance testing.
AI-Enhanced Testing & Productivity Optimization
Revolutionary integration of AI tools to enhance daily testing workflows and productivity.
- Implemented AI-assisted test case generation, reducing manual test creation time by 60% while improving coverage quality.
- Utilized AI for intelligent code review and automated debugging, accelerating issue identification and resolution.
- Developed AI-powered documentation workflows that automatically generate comprehensive test reports and technical documentation.
- Created prompt engineering strategies for QA processes, optimizing AI interactions for maximum testing efficiency.
- Established AI-driven test optimization practices, using machine learning insights to prioritize high-impact test scenarios.
- Integrated AI tools into daily workflows for enhanced productivity in test planning, execution, and reporting.
Global Pharmacology Application Testing
End-to-end testing framework for critical pharmaceutical applications.
- Designed and executed comprehensive test plans covering functional, GUI, backend, and regression testing.
- Implemented traceability matrices in Quality Center linking requirements to test cases.
- Established defect tracking and analysis processes that significantly reduced production defects and improved application stability.
- Collaborated with global development teams to ensure quality standards across multiple time zones.
Data-Driven Test Automation
Advanced automated testing solution for high-stakes assessment platform.
- Created comprehensive test cases using Microsoft Test Manager with both manual and automated execution paths.
- Implemented data-driven testing approach using QTP for efficient test coverage across multiple scenarios.
- Developed regression testing suite with automated execution and reporting capabilities.
- Established defect lifecycle management process improving issue resolution time.
Get in Touch
Looking for opportunities in Quality Assurance, Test Automation, or Software Testing? I'm always interested in discussing new opportunities and technical challenges. Let's connect!
New York City, NY USA | US Citizen