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Wei-Min Chiu

Hello, I'm Wayne, graduated from the National Taichung University of Science and Technology. I have worked in Nayna Technology before and is responsible for web development, docker deployment, data training of the neural network. 


  • 3+ years experience in Web Development.
  • 5+ years experience in Linux.
  • 2 years experience in Computer Vision.

Backend Engineer, Software Engineer
[email protected]

Skills

Backend


 .Net Framework / .Net Core 

Laravel (php)

Flask (python)

Frontend


jQuery

bootstrap

css

javascript

Database


MYSQL
MSSQL
MongoDB

Infrastructure


LAMP

Docker

ESXI  

Computer Vison


Object detection(YOLO,SSD)

object classification(VGG16, ResNet50)

Work Experience

Nanya, Engineer, Sep 2020 ~ Sep 2021

•Design EPAS Report System(.Net Framework) and help log the machine issues in it to generate the real-time report.

•Deploy docker environment(tensorflow+flask+nfs).
•Build the neural networks(VGG16/ResNet50) to classify needle mark images.
•Use C Language/GPIB to communicate between Advantest Tester and TEL Prober.

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Etown Online(Intern), Software Engineer, 

Mar 2015 ~ Feb 2016

• Build Linux machines in ESXi and JSP Projects to each VM Machine.
• Refactor the codes of the JSP project using Laravel.

Company@2x

Haihu company(Intern), Backend Engineer, 

Jul 2014 ~ Jan 2015

• Build and Maintain LAMP.

Company@2x

Boke company(Intern), Android Mobile Engineer, Jul 2014 ~ Sep 2014

• Develop and Maintain Android App.

Company@2x

Education

National Taichung University of Science and Technology, Information Management Master

09/2017 - 02/2020

Professor: Da-Ren Chen

Master Thesis: On the Study of Road Quality Inspections Using Deep Learning Methods

National Taichung University of Science and Technology, Information Management 
Bachelor

National Taichung University of Science and Technology, Information Management 
Associate degree

Thesis- On the Study of Road Quality Inspections Using Deep Learning Methods

Explore the effect of pixel difference(PD) on neural networks, and propose a framework of Roadcrack Detector (RD) to recognize the road crack.


RD is composed of Gaussian Mixture Model(GMM) splitting datasets and neural network training, In the first step of GMM part, use Gaussian Mixture Method(GMM) cluster images, In the second step, try to use YOLO/SSD to find out the crack of road.

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SiteProject 1. NCHU Graduate Institute of Food Safety

• Build LAMP on ESXI.
• Develop Laravel + Jquery.
• Functions include Membership Login/Register, i18n, Post announcement,etc.

SiteProject 2. Indoor Positioning

• Develop an Android app to collect the RSSI signal from IBeacon, and save data to CSV.

• Use Fingerprint to train the CSV data by Decision Tree and predict the User position when the app get the user signal.


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