Implemented webhooks to notify developers of critical microservice failure via Slack or e-mail to facilitate with developer efforts in minimizing downtime for application users

Employed Typescript and redesigned infrastructure for relational/ non-relational databases to optimize data handling and ensure strict type safe code facilitating long term reliability of the codebase

Applied Travis CI, Jest, and Enzyme in combination with an Amazon Elastic Compute Cloud instance to streamline the testing environment and deployment process minimizing debug and development time

Constructed dynamic D3.js and Plotly.js graphs to assist with visualization of diagnostic data on containerized and non-containerized microservices or applications

Engineered an NPM package to act as downloadable middleware for user applications and microservices in order to collect and save diagnostic data while being database type agnostic throughout

Deployed an Electron application, under OS labs, utilizing IPC communication protocol to interface with the Node.js environment, facilitating secure, asynchronous and efficient data flow from server to client

Utilized code splitting via React Suspense and incorporated standard data visualization methods to reimagine display graphics and user experience leading to significant increase in user satisfaction

Leveraged the React/Redux state management architecture to implement a highly scalable, bug free environment while eliminating inefficient prop-drilling or rendering schemas

Generated high integrity SQL queries to facilitate quick retrieval of relational data for user consumption

Incorporated a React user interface framework to ensure uniformity and modularity to ease scalability of the codebase and ensure positive user experience throughout the application

Employed web sockets and caching via Redis to provide low latency communication between client and server to synchronize playback and messages among users