About

Jatin Hooda is a self-motivated and hardworking Software Development Engineer II at Amazon with over 3 years of relevant experience in the field. He is currently working with the Seller Central team to help sellers register on Amazon, where he is responsible for developing a platform to onboard sellers while ensuring the best possible experience for them. Jatin is a polyglot developer who has worked on multiple components and interfaced with many customers. He is always looking for better ways to do things and enjoys challenging himself with new opportunities and technologies. Jatin is also a people person and loves interacting with folks from different backgrounds. He enjoys listening to life stories, experiencing the thrill of journeys, and building exciting lifelong relations with people from different backgrounds in this small world. At Amazon, Jatin has worked on several projects, including managing the complete end-to-end experience of seller onboarding in the Seller Central Org, identifying and solving issues in legacy services, and working on eligibility and bad actor control projects to restrict unwanted bad sellers. He has also driven campaigns across teams to maintain high standards and the latest version of code quality and coding practices. Jatin has worked closely with business teams to maintain homogeneous behavior across business and development teams through backfills, being POC, and driving projects for surge control. Jatin's past work experience includes working as an Undergraduate Researcher at Delhi Technological University, where he worked on the classification of online toxic comments using machine learning algorithms. He also worked as a Software Development Intern at Amazon, where he built an automated system to create the required relationship service configuration rules based on the entered data through dynamic UI. Jatin holds a Bachelor of Technology in Computer Science from Delhi Technological University and completed his high school education from Navyug School. His tech stack includes software engineering, testing, research science, machine learning, UI, and backend.