Anbarasan Dhanasekar

• Directed enterprise QA strategy and AI-driven automation initiatives across telematics, claims, and estimating platforms, aligning quality engineering with product roadmaps and release governance.
• Architected and scaled automation frameworks using Selenium, Selenide, Playwright, Rest Assured, Cucumber (BDD), and Java, enabling modular, reusable, and CI/CD-integrated validation pipelines.
• Integrated AI-assisted development practices using GitHub Copilot to enhance automation script creation speed, test coverage, and regression cycle time while ensuring human-in-the-loop validation.
• Applied prompt engineering techniques to generate structured test scenarios, API validation logic, and automation utilities, improving productivity and standardizing AI-generated code quality.
• Implemented emerging AI capabilities including Agentic AI concepts and Model Context Protocol (MCP) for context-aware test generation, intelligent test data handling, and regression optimization.
• Championed cloud-first QA practices by integrating AWS services within CI/CD pipelines to support scalable, distributed, and reliable test execution environments.
• Led and mentored distributed QA teams across India and Poland, establishing automation standards, code governance practices, and test traceability across enterprise programs.
• Partnered with Product, Engineering, and Operations leadership to define measurable quality KPIs, reduce release risk, improve defect leakage metrics, and accelerate delivery timelines.
• Enabled shift-left automation, empowering developers with self-service test execution tools and pre-commit quality validations to enhance overall quality.

• Led quality assurance initiatives for mission-critical financial services products, enhancing risk mitigation, compliance validation, and system resiliency under high transaction volumes.
• Designed and executed comprehensive API, integration, and performance test suites using Java, Scala, Spark, Cucumber (BDD), and JMeter, ensuring high reliability in distributed financial systems.
• Automated enterprise-grade Payment Platforms supporting settlement processing and network authorization workflows, including multi-currency transactions and complex rule-engine driven decisioning systems.
• Architected scalable automation frameworks to validate transaction lifecycles, currency conversions, reconciliation logic, and authorization flows across upstream and downstream systems.
• Improved automation coverage and optimized regression strategy, reducing manual regression effort by 40% and accelerating release cycles.
• Partnered with cross-functional teams (Product, Engineering, DevOps) to implement CI/CD-integrated quality gates, improving defect detection in early stages of SDLC.
• Enhanced performance benchmarking and load validation processes, ensuring scalability and stability of high-volume payment processing systems.

• Automated Telematics crash detection mobile SDKs (iOS/Android) with Appium and Rest Assured.Provided technical guidance on automation best practices to development teams. • Researched new technologies related to the field of QA Automation Engineering. • Developed automated test scripts using Selenium and Java for web applications
• Developed automated test scripts for software applications at CCC Information Services.
• Executed CI and CD processes to enhance software release deployment efficiency.
• Collaborated with cross-functional teams to define testing requirements and scenarios, ensuring alignment with project goals.
• Executed regression tests to ensure application stability and functionality.

• Implemented and optimized CI/CD pipelines to enable automated test execution on every build, accelerating release cycles and improving deployment stability.
• Delivered scalable automation frameworks for Lenovo and Motorola eCommerce platforms, integrating Broadleaf Commerce, Demandware (Salesforce Commerce Cloud), and SAP across order management, payments, and fulfillment workflows.
• Automated functional, regression, cross-browser, mobile, and security test scenarios (including XSS and SQL injection validation) using Selenium, Groovy, and Appium, enhancing application reliability and vulnerability detection.
• Designed and implemented an Analytics Automation Framework to validate Google Analytics event tracking, conversion funnels, tagging accuracy, and data layer integrity, ensuring reliable business intelligence reporting.
• Developed modular, reusable automation frameworks to streamline end-to-end validation across UI, API, and backend integrations, reducing manual validation effort and increasing release confidence.
• Collaborated with cross-functional teams to integrate eCommerce front-end platforms and SAP backend systems, ensuring data consistency and transactional accuracy.

Developer & Onsite Lead – Insurance Products (AIG, State Farm)

• Led onsite development and QA teams, coordinating cross-functional resources to meet deadlines and uphold software quality standards.
• Developed, tested, and delivered insurance solutions including Auto Quote & Purchase, Professional Liability Claims, and iClaims, ensuring high-quality, compliant, and production-ready applications.
• Partnered with product owners, business analysts, and offshore teams to define project requirements, functional specifications, and test coverage, enabling clear scope and traceable QA processes.
• Designed and implemented automation and manual test strategies to accelerate delivery cycles while maintaining reliability and accuracy of core insurance workflows.
• Mentored junior developers and QA engineers, fostering adoption of best practices and enhancing code review and automation standards.
• Facilitated on-site client collaboration, resolving technical issues and ensuring alignment with business and regulatory objectives.