Wayne Lee

An engineer from the mechanical field to computer science, also studied for a master's degree and majored in AI. Having almost a year's working experience in testing, functional scripting using python.

  Taipei City, Taiwan     

Work Experience

AI R&D Assistant  •  Wiseworks

April 2020 - February 2021

1. Collecting the data to train the model by using python(scraping).
2. Observe the result that comes out from the model, and improve the accuracy by the filtering method using python script.
3. Scripting to test the API that backend established, and also the static works.
4. Project managing.

Mechanical Engineer  •  Tatung Co.

July 2016 - July 2019

Automated production line planning, feasibility evaluation, cost analysis, as well as mechanism design, appearance design, drawing and requisition of parts and commercially available parts, and assisting in equipment on-site assembly, debugging, and commissioning operations.

Education

2019 - 2021

Tatung University

Computer Science, master's degree

  • Image Processing
  • Unix System
  • Advanced Database
  • Android App Design
  • Advanced Programming Skills

2011 - 2015

Chinese Culture University

Mechanical Engineering, bachelor's degree

Skills

   Python      Deep Learning      RESTfulAPI      Android      Data Mining     linux      Java   

語言

   English — Intermediate      Chinese — Native   

Frameworks

Platform & tools


  • Tensorflow
  • Keras
  • Scikit-Learn
  • Pandas
  • OpenCV
  • FastAPI
  • Django
  • Requests
  • Selenium
  • Csv & Json

  • Windows
  • Ubuntu
  • macOS

  • Postman
  • Sublime
  • Terminal
  • Android Studio

Project


Mango Quality Classification

This is a thesis project which uses 3 neuron networks and SVM to accomplish the sorting work by appearance. The experimental results show that our proposed system can achieve up to 84.5% accuracy rate by testing 800 images. 

Short Url Service(API)

Using FastAPI to create a shortened url service, including a post and a get method to achieve database saving and redirect. The hash behind the service is MD5, and the DB is SQLite, query in ORM mode.

Background Removal

A light work to accomplish background removal using openCV. In this case, a low frequency filter is used to detect the black border and trim.

API Testing and Static Works

This case is my former work as a R&D assistant, using requests framework and Postman to test out the AI model result and collect multiple data to analyze the performance of the training model. 

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