As a software engineer at Stripe, I work in the async processing team to build and support infrastructure for asynchronous processing of events. I have over six years of experience in developing, designing, and deploying cloud-based solutions using AWS technologies, such as Lambda, SQS, SNS, DynamoDB, and S3. Previously, I was a senior software development engineer at AWS Metering & Bill Generation, where I was involved with the design and implementation of approval flow process for Sage Maker Studio Lab, a new service that enables customers to create, manage, and share machine learning projects. I also contributed to the development of systems that handle trillions of usage records, millions of accounts, and hundreds of thousands of different rates, with high accuracy and performance. I am passionate about solving complex and challenging problems using cutting-edge technologies and best practices. I enjoy collaborating with cross-functional teams and stakeholders to deliver innovative and customer-centric solutions. My goal is to leverage my AWS skills and expertise in async processing and bill generation to create scalable and reliable infrastructure for Stripe, a leading online payment platform.