INDUMATHI KUMAR

• Led automation validation for AI/ML models using Playwright (Python) for UI, API, and performance tests, and Selenium (Java) for cross-browser validation.
• Designed agentic frameworks to test dynamic model behaviors and edge scenarios, integrating Cucumber BDD for behavior-driven testing.
• Integrated automated testing pipelines with Jenkins and Kubernetes, accelerating delivery cycles and ensuring scalable test execution in containerized environments.
• Conducted load testing and model drift regression using simulation agents, leveraging JMeter and BlazeMeter for API performance benchmarking.
• Directed and motivated cross-functional teams of 15 members across domains, ensuring alignment with business goals and timely project delivery.
• Established KPIs and dashboards to track team performance, enabling data-driven decision making and increasing accountability, with real-time monitoring via Grafana.
• Partnered with product owners, architects, and compliance leaders to align testing strategies with business value, risk management, and regulatory requirements.
• Implemented cost optimization initiatives in cloud-based testing environments, reducing infrastructure spend by 25%.
• Collaborated with stakeholders and leaders on defining enterprise quality strategy, embedding DevSecOps practices into CI/CD pipelines.
• Recognized as a thought leader, presenting QA innovation strategies and modern automation frameworks at internal leadership forums.

• Developed and implemented a robust automation framework using Cypress (JavaScript) and Selenium (Java) to align with project goals and ensure scalable test coverage across UI, API, and backend layers.
• Designed the overall test automation framework from scratch using Cucumber BDD with Page Object Model, tailored for Angular-based applications and modern technology stacks.
• Defined enterprise-wide guidelines and best practices for test automation development, enabling consistency and reusability across teams.
• Implemented performance management frameworks (goal setting, feedback cycles, appraisals) that boosted employee engagement and productivity by 50%.
• Integrated test automation into CI/CD pipelines using Jenkins on OpenShift, with real-time monitoring via Sorry Cypress Dashboard and Grafana, ensuring efficient feedback loops.
• Collaborated with DevOps teams to automate deployment processes, embedding DevSecOps practices for secure and compliant delivery.
• Reported test automation metrics by configuring Jenkins with JIRA, enabling transparent execution reporting and traceability.
• Performed end-user monitoring with AppDynamics (AppD), capturing user experience metrics and identifying performance bottlenecks.
• Successfully led testing efforts for a high-throughput data processing application powered by Apache Kafka, ensuring reliable and scalable message streaming.
• Conducted backend testing and API automation using Cypress, validating results against MongoDB and ECS logs.
• Designed and executed ETL testing strategies for data pipelines, ensuring accuracy and integrity of large-scale data transformations.
• Integrated SonarQube with CI/CD Jenkins pipelines for continuous feedback on code quality, reducing defects early in the development lifecycle.
• Built Python-based automation utilities for AI/ML model validation, including drift detection, regression testing, and simulation of dynamic behaviors.
• Conducted performance and load testing using JMeter and BlazeMeter, benchmarking API throughput and system resilience under stress.
• Mentored and coached mid-level managers and team leads, creating a leadership pipeline and reducing attrition by 30%.
• Recognized as a thought leader, presenting QA innovation strategies and AI-driven automation approaches at internal leadership forums.

• Implemented Karate BDD framework for API testing from scratch involving setting up a new project, creating feature files, writing scenarios, and executed them using the Karate runner.
• Integrated Karate with AWS ECS (Elastic Container Service) bundling Karate test feature files into a Docker container and running them as tasks in ECS.
• Used DynamoDB NoSQL database to assert test results in backend and checking if the expected data modifications have occurred as part of API request update.
• Expertise in Elastic Search, Kibana and Machine Learning Search API's.
• Project 2 - Developed Selenium TestNG framework with POM.
• Drove talent acquisition and retention strategies, achieving 40% reduction in hiring cycle time while improving quality of hires.
• Implemented Selenium GRID with Docker containerization to reduce time and cost for test execution across various nodes with improving Proficiency in application monitoring through the use of Grafana and AppDynamics
• Additional Managerial responsibilities included Task Assignment, Performance Evaluation, Training and Development, Resource Allocation & Onboarding.

• Worked on multiple automation frameworks including Selenium BDD Page Object Model, Cucumber BDD, and TestNG, using Java and Python as core development languages.
• Offshore QA Lead for Foundation Core, Wealth Management, Lending, Payment Domain, Online Trading, and Capital Market Trading applications, ensuring quality across diverse financial platforms.
• Automated Postman API scripts to schedule, run, and monitor backend requests defined in Swagger documents prior to UI development, enabling early validation of trading and payment APIs.
• Implemented SOAP UI to test WSDL APIs and Metadata APIs for Salesforce integrations, analyzing query responses critical to financial transactions and trading workflows.
• Designed and executed Salesforce application automation using Selenium with JUnit, employing a Data-Driven framework (Apache POI) and reporting via Extent Reports and Log4j for robust logging.
• Led QA efforts across front-end trading life cycle applications, validating order placement, trade execution, settlement, and reconciliation processes to ensure compliance with capital market standards.
• Collaborated with DevOps teams to integrate automation into CI/CD pipelines, embedding continuous testing for trading APIs and payment gateways.
• Conducted backend testing and API automation for trading engines, validating against MongoDB/ECS logs to ensure accuracy of trade settlements and payment reconciliations.
• Implemented monitoring and performance validation for trading applications using Grafana and AppDynamics, capturing user experience metrics and identifying latency in high-volume trading scenarios.
• Involved in Recruiting, Training, Development, and Onboarding, building strong QA teams specialized in financial services and capital markets.

• Performed Mobile Automation Testing using Perfecto Tool across multiple devices, screen sizes, and operating systems to ensure compatibility, functionality, and seamless user experience.
• Executed Real Device Testing on physical devices, validating mobile applications beyond emulators/simulators to guarantee production-grade reliability.
• Designed and implemented a Test Automation framework with “script once, execute anywhere” capability, enabling consistent validation across diverse OS versions and device types.
• Conducted Performance Testing to identify bottlenecks, optimize application responsiveness, and ensure smooth mobile user experiences.

Project 2: Mobile Automation with Appium

• Developed and maintained Appium automation framework using Java, testing native, hybrid, and mobile web applications across Android and iOS platforms.
• Integrated Appium scripts into CI/CD pipelines, accelerating release cycles and improving test coverage for mobile-first applications in Payments and Cards domain.

Project 3: Enterprise Automation with Tricentis Tosca

• Automated mobile, API (backend), and web-based applications using Tricentis Tosca, ensuring end-to-end validation across enterprise systems.
• Designed reusable test modules for Wealth Management, Loan IQ (commercial lending), Payments & Cards, and Insurance applications, aligning automation with critical financial workflows.
• Validated backend APIs and ETL processes supporting financial transactions, ensuring accuracy, compliance, and scalability.