Amazon Music Identity & Growth

AWS Lambda

◦ Developed and integrated a recommendation system into the Amazon Music iOS app for over 41 million customers.

◦ Improved user engagement and customer education by 30% by strategically integrating informational tooltips and ribbons within the Amazon Music iOS app.

◦ Used: Swift, Java, GraphQL, SwiftUI, Kotlin

◦ Designed and implemented an iOS app that enables synchronous and asynchronous device messaging for millions of iOS devices by implementing an internal C-based messaging library.

◦ Created an automated testing solution that facilitated full end-to-end testing on iOS devices for new releases which accounted for 33% of the team’s platform testing workload.

◦ Used: Swift, C, Python, SwiftUI, AWS CodeCommit, AWS CodePipeline, AWS Device Farm

◦ Developed a backend microservice that determines cloud security vulnerabilities by gathering over a 1000 data points about enterprise cloud resources from AWS and Microsoft Azure and cross referencing them with over a 100 security policies.

◦ Used: Java, Python, Microsoft Azure Policy, AWS Config