Building a backend platform to power the next generation of payments!

In July 2024, I joined the Machine Learning Infrastructure team at Snap as a Senior Backend Software Engineer. On this team, I work on the infrastructure that powers Snap's machine learning models, specifically, in content understanding and feature store, serving tens of millions of requests per second.

• Built full stack scalable PayPal <-> Apple Pay/Google Pay Integration for web

• Collaborated with many teams, including the Checkout and Orders teams

• Built and maintained web tool to simulate merchant integration experience

• Developed backend APIs to facilitate Apple Pay transactions at massive scale

Skills used: Java, Node.js, TypeScript, Python, SQL, Spring Boot, Swift, REST, and GraphQL

Backend software engineer in merchant onboarding (MAM):

• Tech lead to expand our product into more countries, enabling $10M+ in net new revenue

• Led/managed team scrum processes as scrum master, planned/prioritized tasks to ensure on-time deliverables

• Built and maintained high-volume REST APIs to onboard new merchants, serving over 500 requests per minute

• Architected, built, and deployed brand new GraphQL API, enabling over 10,000 merchants to onboard

Skills used: Java, Node.js, TypeScript, Python, SQL, Spring Boot, Swift, REST, and GraphQL

• Designed API architecture and built/deployed entirely new REST API platform from the ground up

• Created schema validation framework from scratch to enforce schema and ensure consistent user experience

• Built several API services and endpoints, each fully integrated with auth, schema validation, and testing frameworks

• Built continuous integration pipeline to ensure stable builds and support automated real-time deployment

Skills used: TypeScript, Node.js, Azure, and FeathersJS