• Developed Global Pay Later automation interfaces, improving functionality, reliability, & quality assurance by 40+ cases using Swift XCUI, Gherkin, JavaScript, Ruby, CoffeeScript, HTML, and CocoaPods.

• Contributed in building & scaling the PayPal Debit Card Product (PPDC) as an early-stage employee test.

• Discovered and implemented a new analytics tracking method for Global Pay Later iOS and Android

experiments, streamlining production reducing reporting delay time from 2-4 weeks to 1-2 days.

• Student researcher for AI Interactive Smart Mirror, emphasizing on 3D skeleton recognition, refining avatar simulation and size measurement accuracy for clothing try-on simulation.

• Developed machine-learning in-depth models for object detection and pose estimation using OpenCV, TensorFlow, PyTorch, RealSense SDK, and Kinect SDK

• Enhanced skeleton detection by 8.4% utilizing OpenPose, Microsoft Kinect SDK, and MediaPipe

• Created a mobile app to connect to the smart mirror and increase consumer usage likeliness through Kotlin and Java

• Guided remote groups of 4-6 students through the Intermediate iOS Development Course. Delivered

comprehensive instruction on Xcode and Swift topics such as IBOutlets/IBActions and ViewControllers.

• Actively monitored Slack channels, providing prompt responses to student inquiries, and conducted

weekly office hours to support enrolled students in their project assignments to enhance learning.