CargoAi App & Microservices
Carlos Ngo
While initially hired as the sole developer in the company's website, I took initiative to contribute to their main products. Here's a quick list of my impact across their whole tech stack.
Improved the Largest Contentful Paint (LCP) across all pages of the app by up to 50% in Lighthouse by resolving an issue with eager loading and optimizing the image file sizes through .webp conversion
Optimized the load time of the app's search results in the app by up to 10% by identifying and refactoring compute-heavy redundant operations
Created a passwordless authentication flow to automatically log in users with a link alone using AWS Cognito
Maintains at least 60% unit test coverage in new code across all contributions in the app and API
Implemented email notifications through AWS SES and in-app notifications through GraphQL on flight updates
Created an admin feature to modify the app's configuration in multiple development environments in realtime
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Posted Jan 7, 2023
Contributes to the development of CargoAi's Angular web app, Spring API, and Lambda microservices written in Go and Python
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