• Created SDK and UI modules and built connections between them through the MVVM design pattern using TypeScript, ReactJS, MobX, and EventEmitter; wrote automation tests using Jest, Enzyme, and TestCafe to increase code quality

• Integrated Medallia Digital SDK into application to collect user feedbacks; led discussions and cooperated with PMs and Customer Experience executives to design a configurable trigger logic to increase customer satisfaction

• Led a company wide EU privacy project and worked with different teams to make the app GDPR compliant for EU users

• Collaborated with PMs on product requirements, designed architectural and technical solutions, broke down tasks into manageable and independent chunks, and delivered them in a timely manner with high quality

• Proactively sought out solutions aimed at systematically resolving problems, improving app performance, and elevating codebase quality, reliability, modularity, and robustness; provided prompt response to urgent request

• Implemented OAuth security hardening for desktop app using PKCE mechanism to prevent authorization code injection

• Brought web accessibility of multiple UI components to a high standard based on Web Content Accessibility Guidelines

• Implemented RingCentral Workspace features including tasks, events, notes, and files to enhance users’ collaboration

• Delivered E2E tests using TestCafe and Selenium automation tools to improve test coverage and reduce test cycle

• Collaborated with team members across different departments and time zones to develop and roll out new features

• Committed myself for continuous learning promising technology stack and staying on top of the latest technology trends

• Developed a numerical model for wave-breakwater interactions using computational fluid dynamics software in C++

• Created a probabilistic model to fit complex dependency structures among massive recorded data using R and MATLAB

• Performed fatigue damage analyses using surrogate models based on Gaussian Process and Artificial Neural Network

• Established an API for coupled dynamic analysis of floating wind turbines between FAST (Fortran) and AQWA (Python)

• Proposed a physics-informed data driven model for system response evaluation using LSTM Recurrent Neural Network

• Published 7 peer-reviewed journal articles, 4 peer-reviewed conference proceedings, and 3 technical reports

• Designed a geo-based social network web application for users to create photo and video posts and browse nearby posts

• Applied React Redux for data binding to make the application state manageable and improve rendering performance

• Improved the user experience by using Ant Design React UI library, Geolocation API and Google Map API

• Implemented token-based login/logout flow with React Router and server-side user authentication with JWT

• Built a scalable web service in Go to handle posts and deployed it to Google Cloud (GKE) for better scalability

• Used ElasticSearch to provide geolocation-based search functions such that users can get nearby posts within a distance

• Utilized Google Vision API to provide a face detection model for image posts and integrated it with the Go service

• Developed a web page for users to place order, select delivery method, and check order status using React JS and AJAX

• Applied Google Map API to render package locations and delivery routes based on users’ selections (Drone & Robot)

• Designed a search bar with keyword detection, various filters, and sort functionalities to quickly find desired orders

• Implemented Jersey REST framework with Jackson object mapper API to handle all RPCs from clients

• Built relational database to store order information; implemented algorithms to select warehouse and calculate price

• Integrated with PayPal API to help users checkout and record order status based on users’ transaction conditions