Reels Monetization.

YouTube Shorts Full Stack.

Android OS Telephony and eSIM Infra.

Undergraduate research assistant working with Professor David Kotz. • Employing and testing machine learning models to improve eating detective in lab and real life.• Writing Android apps collecting data from sensors on wearable devices about subjects' eating behaviors.Project website: http://www.auracle-project.org

• Implemented a complete eUICC & LPA simulator for eSIM following protocols defined by GSMA SGP.22 with GUI using Java and JavaScript.

• Implemented the Auto Completion feature, rolled out in production in September 2017, for text input for Google Assistant on iOS with Objective-C and other iOS development tools.• Improved user interaction and experience, worked on experimental projects.

Independent software developer

• Wrote a mock server in Node following the internal API guidelines and improved app testing efficiency by 10%• Fixed a sliding tab bug that existed for more than 3 months on Android app by using compatibility support libraries

Undergraduate research assistant at HCII (Human-Computer Interaction Institute):• Designed Android app for Crowdsourcing project, for posting and completing tasks; Implemented a customized Geofence service• Built a Node.js server to host the tasks for Crowdsourcing and coordinating users• Generated usage statistics pages using D3.js

Intern for design team. Public communication.