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Taipei, Taiwan
Avatar of Dino Lai.
Avatar of Dino Lai.
Technical Integration Manager @Evolution
2022 ~ Hiện tại
Product Manager
Trong vòng một tháng
Dino Kun-Jui Lai 7+ years professional experience in customer-facing product development Skilled in cross-functional communication, scrum, problem-solving, digital ads operations, software development & project management Mobile:E-mail: [email protected] Technical Languages : C# & T-SQL Work Experience Innovation Digital, Product Manager , Apr 2024 ~ Now communication between clients and internal departments to enhance product between business and tech. Evolution, Technical Integration Manager , Apr 2022 ~ Apr 2024 communication between clients and internal departments and leading customers to integrate with software products and identify technical issues. - Build up test API server on AWS
專案管理
C#
ASP.NET
Đã có việc làm
Bật trạng thái tìm việc
Full-time / Quan tâm đến làm việc từ xa
6-10 năm
國立台北科技大學 NTUT
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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.
Hơn một năm
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
Tình trạng hiện tại
Đã có việc làm
Tiến trình tìm việc
Professions
Back-end Engineer
Fields of Employment
Kinh nghiệm làm việc
1-2 năm
Management
Chưa có
Kỹ năng
Linux
Python
Deep Learning
PHP
Laravel
ASP.NET MVC
asp.net core
Tensorflow (Keras)
C
Java
JavaScript
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Software engineer
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Full-time
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Taipei, 台灣, 台灣新北市
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Quan tâm đến làm việc từ xa
Freelance
Đúng, tôi là một freelancer nghiệp dư.
Học vấn
Trường học
臺中科技大學
Chuyên ngành
資訊管理
In
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
Hồ sơ của tôi
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