Thanmai Jami

WORK HISTORY

EDUCATION

ABOUT THANMAI JAMI

Computer Science Engineer (GITAM University, 2023) with 1.5 years of experience in Quality Engineering and Test Automation. I design and implement robust, scalable test infrastructure for both UI and API applications, leveraging modern stacks including Playwright, TypeScript, and Java. My focus is on shifting left by integrating CI/CD practices (Git, Jenkins) and applying strong coding principles (OOPS, DSA) to elevate product quality. My foundation in AI/Machine Learning provides a unique edge in problem-solving and system analysis, positioning me for roles that demand high technical depth.Key Automation Achievements (Adapt with Your Metrics)• Performance Improvement: Reduced end-to-end test execution time by 40% by optimizing Playwright selectors and introducing parallel execution via Jenkins.• Coverage & Stability: Developed and integrated 150+ new API test cases, increasing overall endpoint test coverage by 65% and decreasing post-release API defects by 25%.• Efficiency: Migrated a legacy Java/Selenium suite of 300+ tests to a faster Playwright/TypeScript framework, resulting in 30% lower maintenance effort.Core Competencies: Test Automation & EngineeringUI and E2E Automation• Modern Stack: Expert in developing high-speed, reliable End-to-End (E2E) test suites using Playwright and TypeScript.• Framework Experience: History of maintaining and migrating test frameworks utilizing Java and Selenium.• Key Skills: Cross-browser testing, component-level interaction, locator optimization, and page object model implementation.API Automation & DevOps• API Testing: Proficient in designing and executing automated tests for RESTful APIs to validate data integrity, business logic, and error handling.• CI/CD & Version Control: Daily use of Git for source control and managing Continuous Integration pipelines using Jenkins to ensure tests run automatically on every code deployment.Technical Foundations & Specialization• Programming Languages: Python (Expert - Excellent for scripting and ML), Java, TypeScript, C, JavaScript.• Computer Science: Data Structures and Algorithms (DSA), OOPS.• Data & Back-End: SQL, RDBMS.Specialized AI/ML Foundation (Unique Differentiator)• Applied knowledge in implementing algorithms for Machine Learning, Deep Learning, Computer Vision, and NLP.• Architectural knowledge of CNN, GAN, Stack GAN.Soft Skills• Interpersonal: Excellent Communication, Teamwork, Leadership.• Professional: Analytical Problem Solving, Adaptability, Organization.