- Product developed under Open Source Labs (opensourcelabs.io).- Implemented GraphQL schemas and resolvers to interface with a PostgreSQL database, allowing for accurate and predictable data retrieval and simplifying logic on the client and server side due to the use of a single endpoint.- Improved GraphQL implementations by adding a caching layer that stores previous query results for quick retrieval, optimizing response time and reducing the frequency of database calls while maintaining consistent queries and responses.- Used Redis's advanced data structures to create a server-side cache that efficiently responds to cached GraphQL queries with redirected memory-based data, evicting cache with Least Recently Used (LRU) or Least Frequently Used (LFU) strategies.- Utilized a caching strategy that leveraged Deno's GraphQL middleware to dissect query strings into fields, allowing for efficient selective querying and instantaneous cache invalidation for mutation-staled keys.- Incorporated React components and hooks to improve performance and implement a modular design pattern, leading to easier refactoring and efficient management of unidirectional data flow.- Utilized Oak, one of Deno’s server-side frameworks, and its middleware design pattern to achieve modularity and organization when routing GraphQL queries to either the database or cache.- Implemented TypeScript's static and strong typing to prevent implicit type coercion, which improved debugging, code readability, and the facilitation of easy code maintenance and refactoring.- Revamped developer tools by migrating to manifest 3, which improved privacy and performance and fixed previously dysfunctional windows such as the "playground" and "cache".

- Express, due to its flexibility, scalability, and robust routing and middleware capabilities, was chosen to handle http requests for journal entries and post requests for user sign-in and log-in.- Utilizing MongoDB, a NoSQL database, for its ability to both handle un/semi-structured data and to allow for more flexibility in schema design and scalability, was the best approach to create journal entry and user log-in schemas.- Introduced cookies and sessions with user schemas to ensure timed sessions and improve security by tracking and managing user sessions on the server-side, preventing session hijacking and other malicious activities.- Incorporated React Routers for seamless user experience, using conditional component rendering to optimize performance.- Implemented React to create reusable components, enabling state and prop-drilling for efficient organization of journal data.- Configured a custom webpack file for more scalability, faster run-time, ES6+ transpilation, and decreased bundle file size.