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4-6 years
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Taipei, Taiwan
Avatar of 陳旻琳.
Avatar of 陳旻琳.
資深程式設計師 @緯創軟體股份有限公司
2022 ~ Present
程式設計師
Within one month
Developed tools for team to improve efficiency of development routine. Side Project Frontend Development • Ministry of Health and Welfare Added charts in cell therapy website of MOHW using jQuery. JunAugFrontend Development • Cambrian Soft Ltd. Developed CMS system for Someday Group using Vue 3. JanFebEducationUniversity of Taipei Computer Science Social Network Application Competition with NCCU, 2015, First place Outeaters - share your favorite meal: Built the project with team using Django framework. Graduate Presentation, 2016, Fifth place uOrder - Campus restaurant ordering system: Developed website by using Django framework and mobile app using Ionic (hybrid app framework).
JavaScript
JavaScript / ES6 / jQuery
HTML/CSS
Full-time / Interested in working remotely
6-10 years
台北市立大學
資訊科學

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Definition of Reputation Credits

Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
More than one year
Looking for Software Engineer related opportunities.
Logo of 南亞科技股份有限公司.
南亞科技股份有限公司
2020 ~ 2021
Taiwan
Professional Background
Current status
Employed
Job Search Progress
Professions
Back-end Engineer
Fields of Employment
Work experience
1-2 years
Management
None
Skills
Linux
Python
Deep Learning
PHP
Laravel
ASP.NET MVC
asp.net core
Tensorflow (Keras)
C
Java
JavaScript
Languages
English
Intermediate
Job search preferences
Positions
Software engineer
Job types
Full-time
Locations
Taipei, 台灣, 台灣新北市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
臺中科技大學
Major
資訊管理
Print
Znnav6ge3sg4laoz9q67

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.

Hp0nfkywhcq7mqa1w3ys

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.

Paragraph image 00 00@2x
Paragraph image 01 00@2x

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.


Paragraph image 00 00@2x
Resume
Profile
Znnav6ge3sg4laoz9q67

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.

Hp0nfkywhcq7mqa1w3ys

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.

Paragraph image 00 00@2x
Paragraph image 01 00@2x

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.


Paragraph image 00 00@2x