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职场能力评价定义
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
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.
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.
Haihu company(Intern), Backend Engineer,
Jul 2014 ~ Jan 2015
• Build and Maintain LAMP.
Boke company(Intern), Android Mobile Engineer, Jul 2014 ~ Sep 2014
• Develop and Maintain Android App.
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.
SiteProject 1. NCHU Graduate Institute of Food Safety
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.
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
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.
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.
Haihu company(Intern), Backend Engineer,
Jul 2014 ~ Jan 2015
• Build and Maintain LAMP.
Boke company(Intern), Android Mobile Engineer, Jul 2014 ~ Sep 2014
• Develop and Maintain Android App.
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.
SiteProject 1. NCHU Graduate Institute of Food Safety
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.