♦ The responsible product is DeviceOn, which provides instant intelligent edge loading, data collection and status visualization ♦ Mainly develop the functions of the Agent side (Windows, Linux, Android) ♦ The main development languages ​​​​are C and C++, supplemented by Python and Node.js ♦ Send the data collected from the agent to the server through MQTT

I am responsible for the development of Intelligent Building. ♦ Combine other systems to our system, like Elevator system, Access control system, Fire system... ♦ Collect and analyze signals of other system(Modbus、BacNet、OPC、RS232、MSSQL、MySQL、Microsoft Access),and use MQTT to our Beck-end ♦ New skills survey (Electricity demand forecasting using Deep learning)

【Team - Intelligent Manufacturing】 2020/6-2020/12 ♦ New skills survey & test -MQTT -Defect Detection for Wafer -FDC(Fault Detection & Classificatio) 【Team - System Designer】 2021/1-2021/6 ♦ Develop MES、EAP System

This is a project intern The topic of the research is 「Deep learning training model development on edge devices」 Try to use Ranger Optimizer to train the BF16 Format model.

♦ HelpDesk Serve ♦ Computer and network error troubleshooting ♦ Information Security Maintenance