Jyothi shree R — Project Manager

I am a Quality Engineering professional with 15+ years of experience in building scalable automation solutions across UI, API, and backend systems. Over the years, I’ve evolved from traditional test automation into an AI-enabled SDET, leveraging modern tools and intelligent approaches to improve test efficiency, coverage, and release confidence. I specialize in designing and implementing end-to-end automation frameworks. My detailed Tech Stack -- 1. Test Automation (UI & API) using (i) Playwright with TypeScript and JavaScript (ii) Selenium and Java (iii) RestAssured (iv) HP UFT/QTP, VBScript. 2. AI & Modern QE: GenAI (LLMs), Prompt Engineering, AI-based Test Generation, Self-Healing Automation, Predictive Defect Analysis 3. Performance testing using JMeter and Load Runner. 4. Worked on Maven, Gradle, TestNG, Junit, Jenkins, TFS, Jira, Git hub, Quality Center (QC), Test link, Unix, XML, html, CSS, Sauce labs 5. Databases - SQL, Oracle and MongoDB. 6. Designed Wireframes using Mock flow tool and written Use cases. Management skills: 1. Accounting – Analyzing balance sheet and P&L statements, Costings, FV and PV of money concepts and Investments 2. Marketing and Strategy concepts 3. Structures of Organizations, Corporate law basics, Mergers and Acquisitions, Resource optimization, Operations management, Human Resource management and leadership skills Other Roles Worked: 1. Business Analyst and UX engineer. 2. Scrum Master 3. Product Manager 4. Front-end developer (using CSS, HTML and Python) My experience includes working on microservices-based architectures, where I focus on validating complex workflows, ensuring data integrity, and enabling seamless service integration. In recent work, I’ve started integrating AI-assisted techniques into testing, including: Intelligent test case generation Enhanced validation strategies Faster debugging and defect analysis I strongly believe that: “AI accelerates development, but quality is ensured through strong validation.” What I bring to the table: 1. Scalable automation framework design 2. API-first testing approach for microservices 3. CI/CD integration using Jenkins and GitHub Actions 4. Strong backend validation using SQL 5. Continuous testing in Agile/SAFe environments Let’s Connect: If you're working on automation, API testing, or exploring how AI can enhance quality engineering — I’d love to connect and exchange ideas.

Stackforce AI infers this person is a Quality Engineering expert with a focus on automation and AI in software testing.

Location: Memphis, Tennessee, United States

Experience: 10 yrs 7 mos