//assets.cakeresume.com/assets/contentarea/contentarea-2d64eca8dae2a1ffb31e0fb1df887bbad072c7c19734d7d30fa14884bbcc299a.css

．More than 1 year of experience as a Flutter App Developer
．2 years of experience as an AI Software Engineer
．19th APICTA AWARD Certificate of Merit in the category of "Public Sector - Digital Government"
．MIT Media Lab visiting student, autonomous driving computer vision developer 
．ITRI summer internship, Machine Learning Research, APP developer

MIT Media Lab Software Intern
MDPI - "A Deep-Learning-Based Vehicle Detection Approach for Insufficient and Nighttime Illumination Conditions"

Taipei Tech

Software Engineer

Henry Liang

達運光電股份有限公司

Flutter App Engineer

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.

台灣新北市

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)

台灣台北市

Gorilla Technology Group

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


ioNetworks.inc

AI Software Engineer

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.

美國麻薩諸塞

MIT Media Lab

Software Intern

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


Share