Matthew Kao

Built and deployed hundreds of RESTful APIs using Django to power automated content validation and standardization; designed new schemas and performed migrations with PostgreSQL to support Walmart Style Guide workflows. Led the Ship-From-Club (SFC) inventory synchronization from monthly batch updates to daily real-time sync, providing merchants visibility into product availability and driving approximately $240K incremental weekly sales. Contributed to Walmart's Style Guide project by applying Generative AI to automate product listing validation, reducing merchant review time from 5–10 days to hours and saving about 7,000 merchant hours annually. Maintained CI/CD pipelines and achieved 2+ deployments per week with an automated Python test suite achieving 85% test coverage.

Revamped web interfaces using HTML5, CSS, and JavaScript to enhance user experience, resulting in a 20% reduction in bounce rate. Utilized Selenium for end-to-end testing, achieving a 96% pass rate and reducing production bugs. Built Python-based server-side applications featuring advanced caching and asynchronous processing to slash API response times by 50% and optimize database queries.

Led the creation of the Dbrief.AI mobile app from scratch using Flutter, delivering a fully functional app in 3 months. Designed the UI in Figma and implemented real-time synchronization between the app and backend, driving a 15% growth in daily active users. Leveraged Firebase real-time database to support approximately 500 dynamic data updates, and implemented Tinder-style swiping features to increase user engagement. Mentored a team of 4 through iterative development and agile practices to ensure timely delivery.