Machine Learning Engineer at Apple
I am a Machine Learning Engineer at Apple, and have contributed to the development of human-device interaction algorithms for iPhone, iPad and Apple Pencil. I received double Master degrees in ECE (computer vision) and ME from University of Michigan, Ann Arbor. I am broadly interested in machine learning and robotics.
Developed human-device interaction algorithms for iPhone, iPad and Apple Pencil. Had SVP-level impact on product shipping decisions.
Developed a ROS autonomous driving platform on a robot car for perception, reasoning, and control.
Developed a semi-supervised computer vision model to conduct fish localization and segmentation.
Innovated a "copy-and-paste" data augmentation pipeline for weed detection.
Made robotics algorithms (e.g. PID control, object detection, inverse kinematics and SLAM) work on real robots.
Implemented path-planning algorithms (DFS, BFS, greedy, A*, RRT, RRT-connect and RRT*) and forward/inverse kinematics in simulation.
Improved a video object tracking model.
Designed a food recommendation website with search engine, forum and account management.