• Built a Node.js runtime web application to seamlessly monitor and visualize status and health of AWS Serverless components including AWS Lambda function metrics and AWS CloudWatch Event Logs, improving dev productivity

• Leveraged modular SDK to automate connections to AWS CloudWatch, IAM and CloudFormation services, minimizing dev time in the long run

• Utilized Express framework to configure and efficiently handle multiple asynchronous input output (I/O) requests to AWS endpoints, with custom utility functions managing UNIX to optimize handling of the API requests to AWS services

• Used RDBS for its high extensibility, fault-tolerance, and ACID compliance for persistent management of user credentials

• Leveraged React component library to construct accessible and consistent frontend UI/UX across multiple tabs and views

• Modularized state with Redux toolkit, streamlining component state logic to simplify development and testing

• Product developed under tech accelerator OS Labs (opensourcelabs.io)

• Implemented Supertest with Jest to develop integration tests to ensure efficient, optimal user routing via front and back

• Used React Hooks to seamlessly transition between various interfaces, thereby improving overall user experience

• Used websockets for cross-platform communication and real-time monitoring of data between client and server, optimizing user experience

• Implemented Redux to optimize component re-rendering using a single source of truth and for easier debugging

• Worked with React Hooks and Context API for cleaner and reusable code, limiting class component usage

• Architected Node/Express server for its event-driven architecture and modular middleware pattern to handle real time data

• Built site infrastructure prioritizing scalability and usability employing Test Driven Development (TDD) best practices like snapshot integration and end-to-end API tests to improve application reliability

• Developed Node HTTP, Express modules, streams, and child processes/clusters content for video streaming application

• Utilized Docker for its scalability and portability in isolation using port mappings to communicate between multiple, containerized development environments for running separate application services in conjunction with AWS for deployment

• Used React for its HOC pattern for reusability within a component hierarchy to optimize development time in the long run

• Leveraged Redux (+Thunk) and stack trace to dispatch action creators while working with asynchronous data

• Used NoSQL database to manage patient information in conjunction with a SQL database to store normalized patient data.

• Integrated WebSockets for duplex communication for real-time parsing of messages sent to the browser for user display