Global E-commerce

• TikTok Shop Seller Center

• IP Right Protection Platform

• Governance IPR/Listing System

• Pearl Operation Management Platform

U.S. Bank｜Talech

• Developed and maintained the US Bank onboarding web application using JavaScript, TypeScript, React.js, and supporting multi-tenant integration for clients such as US Bank, State Farm, Elavon, and Talech, contributing to an average monthly increase of 20k small business customers worldwide.

• Collaborated on the development of a no-code platform (UI-configurator), enabling over 20 teams at USBank to rapidly build and customize their web pages and workflows.

• Delivered to the USBank POS product (Talech) development, including ordering systems, merchant management systems, dashboard, and the new talech.com homepage using React.js.

• Implemented asynchronous data handling in web applications using Redux-Thunk and Redux-Promise as middleware to manage RESTful APIs with JSON Web Token (JWT) for user authentication.

• Enhanced code quality and reliability by implementing unit tests using Jest to improve testing coverage.

• Designed user-centric web interfaces compliant with A11y standards, employing semantic HTML5 and CSS3 to ensure adaptability and responsiveness while enhancing user experience.

• Managed CI/CD pipelines using Jenkins to facilitate multi-environment deployments (IT, UAT, Prod).

• Integrated third-party APIs such as Google API and Salesforce API to extend application functionality.

• Developed RESTful APIs using Java to enable seamless communication between front-end and back-end.

• Cooperated in the design and development of Single Page Applications (SPA) using MERN Stack technologies (MongoDB, Express.js, React JS, Node.js) along with JavaScript, HTML5, CSS3.

• Implemented Life Cycle methods to handle various operations throughout the application.

• Created Responsive Web by using Bootstrap and CSS Media Queries, optimized CSS file using SASS.

• Deployed the web App into an AWS EC2 cluster.

Conti Lab

COVID-19 and resident behavior data analysis and Machine Learning application

• Remotely connected to the CARC Advanced Computing Center to wrangle Large Mobility data by SQL.

• Extracted features and visualize interactive time series graphs and Choropleth maps by using R programming.

• Built support vector machine (SVM) as the classifier and used cross-validation to obtain the best model parameters.

• By using SVM model, classified city blocks according to their behavioral differences and identify correlation relationships between the census demographic data, mobility data, and COVID-19 infection data.