- Worked with the backend engineering team at Rigi on the development and optimization of APIs for various microservices using Node.js and NestJS.- Managed data storage and caching with MongoDB and Redis.- Leveraged AWS services (SQS, EC2, S3, CloudFront) for application deployment and management.- Conducted thorough API testing with Postman and maintained code using Git and GitHub.- Integrated webhooks for seamless service communication.

- Worked with ML Platform team (RBS-Tech org.) on the development of various microservices for a project whose objective is to become the leading provider of Machine Learning (ML) training data for the development of high quality ML models at Amazon.- Created networking resources and essential infrastructure to facilitate calls from 'Native AWS' (NAWS) stack to 'Move to AWS' (MAWS) API. This integration from NAWS to MAWS holds significance for various use cases in multiple projects at Amazon, automating processes that were previously manual and resource intensive.- Gained hands-on experience in Unit Testing, Git, and managing the CI/CD pipelines. Created API endpoints, API models and Data Access Layers. Worked with various AWS services - AWS Cloud Development Kit, AWS CloudFormation, AWS S3, AWS DynamoDB, AWS Lambda, AWS Step Functions & AWS AppConfig.