1.Develop optical network device management App using Flutter 2.Develop amplifier module management App using Flutter 3.Familiar with Flutter bloc, RESTful API, bluetooth communication.

1. Experience with Deep Learning Inference Engine (ONNX, TensorRT) 2. Unit test an AI algorithm Library 3. Maintain Source code by using Version Control Tool (SVN)

1. Participated in the APICTA awards, and the traffic analysis project won the "Silver Medal" in the category of "Public Sector - Digital Government" 2. Use deep learning in traffic analysis, combined with improved YOLOv4 and object tracking 3. Develop C++ DLL and API for traffic analysis

1. Use the face detection and expression recognition development kit provided in Microsoft Cognitive Service to implement a Windows Phone APP that can recognize the user's identities and change the color of the lights according to facial expressions. 2. Use ROS to operate the remote control game (RC), RC can be regarded as a reduced version of PEV, which is easy to develop and test and avoid car accidents, the RC was modified with NVIDIA Jetson TX1, LIDAR, and ZED depth camera 3. Implements lane detection (Lane Detection), simulating lanes and allowing RC to drive along the line.

1. Develop an Android heart rate measurement APP, obtain heart rate values through low energy Bluetooth connection, and do data analysis and graphing. 2. Use machine learning and image processing to identify the brand of running shoes worn by runner