About

Rhea Goel is an Applied Scientist II at Amazon, Seattle, with a rigorous CS Master’s degree from Columbia University and an illuminating CS bachelor's degree from IIIT Delhi. Her education has not only broadened her technical caliber but also coached her to be autonomous. Rhea specializes in Machine Learning (Recommender systems, Computer Vision, Big Data Analytics) and Software Engineering (Backend, Micro-service architecture, Databases, Workflows). She has 6.93 years of relevant experience in Research Scientist, Software Engineer, AWS, Computer Vision, Big Data, ML, Microservices, Backend, infra, Spark, Java, and NoSQL. Currently, Rhea is working as a Software Development Engineer II in the Try Before You Buy org, working on Amazon Personal Shopper by Prime Wardrobe. It is a subscription-based styling service for Prime members, providing personalized recommendations and bringing the fitting room at home. In the past, Rhea has worked as a Software Development Engineer II and I at Amazon on various projects like Osmium (Amazon Internal Cost allocation Engine), Sable (tier-1 NoSQL storage service for Amazon internal applications), and more. She has worked on key projects like Cost Attribution for Checkout using Service Fully Landed Rate Cards, Sable Lumberjack (Amazon EMR, Apache Spark, Apache Zeppelin), Sable Scaling Dashboard, and more. Rhea has a Master of Science (M.S.) degree in Computer Science from Columbia University and a Bachelor of Technology (B.Tech.) in Computer Science from IIIT Delhi. She completed her education in 2015 and 2014, respectively. She also completed her schooling from The Heritage School, Rohini, Delhi. Rhea's tech stack includes Machine Learning, Computer Vision, Big Data Analytics, Backend, Micro-service architecture, Databases, Workflows, AWS, Spark, Java, and NoSQL.