• Designed and built a lightweight, eviction-conscious GraphQL caching library under the OSLabs tech accelerator
• Incorporated GraphQL library to implement partial query caching by parsing the Abstract Syntax Tree of the query string, improving the cache hit and miss rate and decreasing latency
• Implemented cache eviction policies with constant-time complexity across all dictionary operations - insertion, deletion, search - allowing the cache to scale and handle large amounts of data without sacrificing speed
• Applied TypeScript's powerful type-checking capabilities during development to proactively identify and fix potential issues before code execution, resulting in a more stable and reliable final product
• Employed Next.js to build a multi-page application, utilizing its file-based routing system and support for dynamic routes to create a demo website that showcases QLache and its speed in caching queries
• Used Jest's built-in assertion to conduct unit tests on all algorithms, ensuring their reliability and accuracy through thorough validation of expected output, resulting in fewer regressions and a more efficient development process
