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Anvitha Malineni - Software Test Automation Engineer (SDET / QA Automation)

[email protected]

Location: Sterling Heights, Michigan, USA

Relocation: Any Loaction in USA

Visa: H4 EAD

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Anvitha Malineni Software Test Automation Engineer (SDET / QA Automation) Direct: +1 989-249-3699 | E-mail: [email protected] LinkedIn: https://www.linkedin.com/in/anvitha-malineni-177155160 Professional Summary ________________________________________ Software Test Automation Engineer with 6+ years of experience in manual and automated testing of web-based applications across Agile delivery environments. Skilled in UI automation, API testing, and database validation using Selenium WebDriver, Playwright, TypeScript, Java, Postman, and SQL. Experienced in designing and executing test plans, developing automation scripts, validating CI/CD deployments, performing regression testing, identifying defects, and supporting production release verification. Strong background in collaborating with developers, business analysts, and QA teams to improve test coverage, ensure application quality, and deliver reliable software solutions. Core Skills: SDET, QA Automation, Selenium WebDriver, Playwright, TypeScript, Java, TestNG, Page Object Model, Cucumber BDD Framework, REST API Testing, Postman, SQL Validation, Azure DevOps, CI/CD, Regression Testing, Agile/Scrum, Defect Triage, Release Validation. Technical Skills ________________________________________ Automation & Testing: Selenium WebDriver, TestNG, Selenium Grid, Playwright, REST API Testing Tools: Azure DevOps (ADO), Jira, Postman, SQL, Maven, Bugzilla QA & Process: Test Planning, Test Case Design, Defect Lifecycle Management, Release Validation, Risk Analysis Programming: Java, TypeScript/JavaScript, Python Frameworks & QA: Page Object Model (POM), Cucumber BDD Framework, SDLC/STLC, Agile, Playwright Test Runner CI/CD & DevOps: Azure DevOps Pipelines (CI/CD), build/release validation Testing Types: Functional, Regression, Smoke, Sanity, UAT, Cross-browser Testing Data/ML (Project): scikit-learn, Pandas, NumPy, Data Preprocessing, Model Evaluation Domain Experience: Financial Services, Web Applications, Data Validation, Production Support, Release Verification Professional Experience ________________________________________ CRISIL Limited - Software Test Automation Engineer / QA Analyst April 2020 - Present Project: MYRON (September 2022 - Present) Built and maintained a reusable Selenium automation framework for dynamic UI validation and migrated key suites to Playwright (TypeScript) to improve speed, reliability, and maintainability. Developed and maintained BDD automation scenarios using Cucumber with Selenium/Java to improve test readability, reusability, and business requirement traceability. Developed stable Playwright automation for dynamic UI components and critical workflows using resilient locator strategies (XPath/CSS) and smart waits. Built and maintained automated smoke and regression suites used as deployment validation checks in Azure DevOps pipelines. Reduced regression execution time by 40% by replacing legacy Selenium jobs with Playwright-based pipeline runs. Used parallel execution and cross-browser coverage (Chromium, Firefox, WebKit) to improve execution efficiency. Designed resilient XPath and CSS selectors for dynamic elements, reducing script maintenance by 35%. Analyzed flaky automation failures and improved test stability through better wait handling, locator strategies, retry logic, and test isolation. Created reusable utilities for file upload, dropdown handling, and dynamic waits; validated backend data using SQL. Performed API validation using Postman for key workflows, supported end-to-end testing across UI, API, and database layers, and assisted with Level-2 issue investigation during production support activities. Collaborated with development and DevOps teams to validate CI/CD deployments and ensure application stability across QA, UAT, and production environments. Participated in defect triage meetings, reproduced issues with supporting evidence, validated fixes, and helped prioritize defects based on business impact. Tracked test execution results and defects in ADO/Jira, communicated test metrics and risks to stakeholders, and supported deployment validation and release sign-off. Project (Internal): AI/ML Project (March 2022 - August 2022) Tested and validated ML model outputs using Python (scikit-learn) by verifying input/output consistency, performance trends, and edge cases. Prepared and transformed datasets using Pandas and NumPy to support test data setup and model output validation. Used model outputs to prioritize high-risk scenarios and improve QA regression planning. Automated model validation checks and reporting using Python, and verified end-to-end integration across UI, API, and database layers. Project: Euphon (April 2020 - February 2022) Created and maintained test plans, test cases, and QA documentation in ADO based on user stories, business requirements, and acceptance criteria. Implemented Cucumber BDD scenarios for key functional workflows and integrated them with Selenium/TestNG-based automation scripts. Created requirement-to-test-case traceability between user stories, acceptance criteria, test cases, automation coverage, and defects in ADO. Executed 100+ test cases and increased regression coverage by 40%. Automated critical UI workflows with Selenium and TestNG, reducing manual effort by 60%. Logged and tracked 150+ defects in ADO, supported retesting, proactively identified testing risks, and contributed to Agile sprint ceremonies. Participated in requirement reviews, analyzed business processes, and provided QA feedback to improve test coverage and application quality. Collaborated with business analysts, developers, and QA leads to clarify requirements, identify edge cases, and improve functional test coverage. Implemented cross-browser testing through Selenium Grid and built data-driven automation scripts. Reviewed test results/defect trends each sprint to identify high-risk areas and improved regression coverage and automation priorities. Education ________________________________________ Bachelors in Computer Science and Engineering in QIS COLLEGE OF ENGINEERING AND TECHNOLOGY,2020 Keywords: continuous integration continuous deployment quality analyst artificial intelligence machine learning user interface