Pitani Satya

About Pitani Satya

Hi, I’m Satya Pitani.I’m a Full-Stack Engineer with close to 2 years of experience at ADP, where I work at the intersection of development, automation, and system reliability. My background in QA automation gives me a strong understanding of how scalable systems break — and how to design them better. What I Work With:Frontend: • React.js, Next.js, JavaScript, TypeScript• HTML, CSS, Tailwind CSS, Material UIBackend: • Node.js, REST APIs• Authentication (JWT), API validationAutomation & Testing: • Protractor, Selenium WebDriver, Cucumber (BDD)• CI/CD pipelines with Jenkins• Storybook component validationDatabases: • MongoDB• SQL Server🧠 My Approach: • I build features with testing in mind. • I prioritize maintainability and performance. • I understand system-level impact, not just UI behavior. Key Impact at ADP: • Increased automation coverage to 80%, reducing manual effort by 60%. • Improved cross-browser stability and UI reliability across payroll modules. • Contributed to API validation and frontend integration workflows.I’m currently strengthening my full-stack expertise, focusing on backend architecture, system design, and scalable application development. Open to full-stack and product engineering opportunities (Hybrid / Remote preferred).

Experience

1. Member Technical

   ADP

   Nov 2023 — Present

   Built and maintained Protractor + Cucumber automation frameworks achieving ~80% regression coverage for payroll and fleet management modules. Developed and validated front-end UI components using Stencil.js and React, improving modularity and reusability. Designed reusable step definitions and feature files in Gherkin for scalable automation across projects. Implemented Storybook-based UI validation and cross-browser testing using Selenium WebDriver to ensure component reliability. Collaborated with developers to debug, fix, and validate API and front-end integrations across HR and payroll systems. Began exploring Playwright for faster, modern automation to reduce execution time and improve coverage. Key Impact: Boosted automated regression coverage to 80%, reducing manual test effort by 60%. Improved UI component stability and reduced cross-browser defects by 30%.

Education

• Tirumala Junior College

  M.P.C

  2017 — 2019

• Surya Public School

  10th

  2016 — 2017

• Andhra University

  Bachelor of Technology - BTech

  2019 — 2023