Devin Moon Email & Phone Number

California, United States

• Led the UI/UX engineering for a cross-team integration on a React web application that ultimately reduced the time spent on form completion for customers by 30%.• Created the entire end-to-end testing for the UI by implementing parallelized Playwright tests alongside Typescript in an effort to dramatically reduce production errors and catch bugs in a proactive manner.• Designed multiple AWS architectural solutions to handle potential errors from a data stream utilized in the migration efforts of a DynamoDB table hosting the information of millions of users.• Supported the transition efforts to leverage AWS Fargate instead of standard ECS for two high transactions per second (TPS) Java Spring Boot APIs while simultaneously ensuring the availability of the data to millions of Capital One customers.

• Delivered improvements to the self-service customer portal for an enterprise-utilized file transferring application which conducts 2 billion dollars worth of file transfers per day.• Initiated a complete UI/UX redesign of the entire product by creating a modernized, customer-focused design in Figma, and presented the design to upper leadership to highlight key problems with solutions.• Improved several Django REST API endpoints in the backend to expedite response times for API users by at least 50%.• Supported customers by answering on-call PagerDuty requests and remediating critical incidents in a timely, organized manner in order to successfully meet SLA requirements.

Spring 2021: Intro to Programming via the WebFall 2022: Object-Oriented Programming ISpring 2023: Object-Oriented Programming II

• Worked with a small startup to create a pipeline that will streamline the transfer and validation of healthcare data using the Fast Healthcare Interoperability Resources (FHIR) standard.• Created a React dashboard from the ground up to display various metrics that dynamically renders changes in real-time.• Deployed and managed several AWS and Google Cloud services involved with the FHIR data pipeline.

• Utilized Java Spring and Kafka to create a data streaming application that substantially expedited the flow of data into an AWS Aurora MySQL database by 83%.• Implemented a multi-regional architecture with failure logging capabilities in order to meet enterprise resiliency requirements by utilizing multiple AWS resources.

Summer Session:• Created a React-based JupyterLab extension to guide users through a form to register machine learning features in order to significantly reduce user errors from an existing CLI tool.• Developed a second React-based JupyterLab extension to allow machine learning engineers the option to easily search and browse through registered machine learning features.Fall Session:• Refactored the user interface for multiple pages on an Angular-based application by following interface wireframes in addition to proposing and implementing entirely new UI/UX changes.• Utilized the Django REST framework to add and adjust API endpoints to communicate with the frontend and to communicate with the Ruby Fastlane scripting utilized by the project.