• Designed, implemented, and owned an end-to-end test automation framework using Playwright and TypeScript, replacing manual regression testing and reducing test execution cycles from days to hours

• Converted high-risk manual test cases into stable automated regression and functional tests, significantly reducing post-release defects

• Currently implementing Robot Framework with Python for keyword-driven automation across web and desktop applications, improving maintainability and enabling non-technical contributors

• Integrated automated testing into CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps, executing tests on every commit with JUnit reporting and quality gates via SonarQube

• Leveraged AI-assisted testing techniques using Playwright MCP and GitHub Copilot to accelerate test creation and reduce maintenance when UI elements change

• Developed and executed API automation tests using Postman collections integrated into CI/CD, validating backend services and database state prior to release

• Authored and maintained test plans, test cases, automation documentation, and execution reports, ensuring traceability from requirements through validation

• Partnered closely with Product Managers and Engineers to incorporate testing considerations early in the development lifecycle

• Led internal workshops to standardize automation best practices and improve test quality across teams

• Migrated test management from Excel to Azure Test Plans, improving visibility, execution tracking, and audit readiness

• Provide 24/7 monitoring and incident response for mission-critical banking systems across multiple data centers

• Automated diagnostics and validation workflows using Python and Netmiko, reducing manual triage time and enabling early issue detection

• Built automation using UiPath and Power Automate for monitoring, alerting, and automated ServiceNow ticket creation

• Perform backend verification and log-based validation of batch processing workflows (Control-M, SQL Server, legacy financial systems) to ensure data integrity and operational correctness

• Conduct root cause analysis and collaborate with cross-functional teams to resolve incidents impacting SLAs

• Regularly validate system health across Windows and Linux environments, supporting reliability and operational compliance

• Developed enterprise applications using .NET Core and C#, supporting backend services and data workflows

• Contributed to automated test case development to support application verification prior to release

• Collaborated with QA and Product teams to identify test coverage gaps and improve release confidence

• Designed and deployed cloud-based systems on AWS with an emphasis on reliability, security, and validation

• Created isolated sandbox and test environments to support verification activities and reduce deployment risk

• Supported verification & validation (V&V) activities for learning management platforms through structured UAT, test execution, and defect tracking

• Containerized applications using Docker and evaluated Kubernetes for scalable test environments

• Automated system integrations and deployment validation workflows using Python

• Administered Windows Server and Active Directory for 140+ locations in a production environment

• Developed PowerShell automation scripts for server health checks, patch validation, and connectivity testing

• Supported operational reliability through proactive system monitoring and validation

Tools: Windows Server, Active Directory, PowerShell