Co-created and Developed the GraphQL One Stop Shop: a web app that allows GraphQL developers to visualize their schemas and queries, test mutations, and view their data relationships through several different modes. It combines query-writing assistance, visualization, and testing in one beautiful user-friendly package.❖ Designed introspection queries which would grab schema data via any functional user-provided endpoint and parse the data into relationships and visualizations❖ Utilized React to manage stateful data and develop modularized, reusable, dynamic front-end components and dynamic functionality, including live-updating in response to user tests ❖ Worked on a team utilizing Agile best practices to break features down into manageable tasks with parallel lanes of work to maximize development efficiency.❖ Used Elk.js and React Flow library to depict the relationships between object types in visualization❖ Integrated Monaco Code Editor to allow users to write valid queries, which could be tested real time, and implemented features such as autocomplete and the GQL-Query-Builder to aid the user in writing accurate, usable code.❖ Spearheaded various workflow modes to streamline user experience and emphasize pertinent data❖ Product developed under tech accelerator OS Labs (opensourcelabs.io), currently available for free at graphql-oss.io

Created a full-stack application which allowed users to search and rank real-life restaurants, save these restaurants to private lists (such as "favorites" or "want to try"), and allowed the user to journal and review their dining experience ❖ Utilized React Router to boost loading performance of different views in a single page application.❖ Used a Node.js/Express server to efficiently handle HTTP requests to serve webpage, static files, and to route HTTP requests to the proper endpoints. ❖ Leveraged a PostgreSQL database for scalability and maintainability when storing user and restaurant info❖ Utilized various APIs to automatically compile a comprehensive dataset for real-world restaurant

Created from scratch a 3D model of a tree which grew and sprouted new branches in real time, and could be shaped by user-input❖Utilized Three.js/React-Three-Fiber to render the 3D components of a growing tree, which the user can modify❖Wrote complex algorithms for partially-random growth, thereby making a unique tree on every instance. ❖The rendered tree changed based on user input, and adapted its growth based on such change.❖React handled state and constant re-rendering of the user’s tree, as its trunk and branches grew