Wei-Shan Chen

Application Engineer with 11 months and Software Engineer with 2 years of experience in technical support, software development, failure analysis, and customer communication. Currently working as application engineer at Advantest, responsible for solving production issues, tool development, and test program development.

  [email protected]    +886 - 952011000 

SKILLS

Programming Language

   python      C++      C    Java

V93000

Smart Test 7   Smart Test 8   

Others

     Gitlab      Git      Tensorflow     Pytorch         docker 

Work Experience

Application Engineer

Advantest

October 2022 - Present
Taichung, Taiwan

  1. Migrate the client's Smart test 7 environment to Smart test 8.
  2. Assisting clients to solve production issues
    - Smart Scale / EXA Scale
    - Smart test 7 / Smart test 8

  3. Develop test program for client's device 
    - pattern convert tool develop

Software Engineer

AU Optronics Corporation 

June 2021 - September 2022
Taichung , Taiwan

  1. Optimization of refrigerated air-conditioning system
    - Led a team(3 members), overseeing work planning and schedule arrangement.
    - Using deep learning and optimal algorithms to identify globally optimal parameters for automated equipment control and achieving a year-round energy-saving benefit of 2.2%.
    - Exhibited at the AUO Smart Manufacturing Exhibition,   news

  2. Defect Detection and Classification Project for Circuit Boards
    - Using deep learning for defect detection & classification, achieving leakage, overkill rate below 1000ppm and accuracy exceeding 99.5%.

  3. Defect detection module
    - Established a PyTorch-based deep learning development platform, allowing easy selection of models, preprocessing, data augmentation, and other functionalities.

Software Engineer Intern

EYESONTEC

September 2019 - August 2020
Taipei, Taiwan

  1. Using deep learning computer vision detection in the company's existing product interface, creating a versatile AOI and deep learning multi-functional inspection platform.

  2. Independently established a deep learning image classification platform.

  3. Using CycleGAN for data augmentation on defective images to address data scarcity issues.

Education

Electrical Engineering  

National Chung Hsin University

 2018 - 2020
Taipei, Taiwan

  • Participate in the 2019 International Conference on Fuzzy Theory and Its Applications (iFuzzy2019).

  • Served as a teaching assistant for the Automatic Control course.

  • Served as a teaching assistant for the Electrical Engineering Laboratory course

  • Master's thesis: Detection and Classification of Circuit Board Defects Based on Deep Learning.

Electrical Engineering 

National Kaohsiung University of Science and Technology

 2014 - 2018
Taipei, Taiwan

  • Served as the Treasurer of the Electrical Engineering Student Association for the 105th academic year, managing all financial transactions of the departmental association and contributing to the enhancement of its financial system.

  • Held the position of Vice General Convener for the 2016 Campus 30 Hour Famine, overseeing the coordination and management of staff and executives. Managed a team of around one hundred personnel, responsible for event planning and negotiations with vendors for materials such as clothing and related event supplies.

Certification

運用 RAPIDS 加速資料科學的基本原理

NVIDIA

4c2a359b355b4a1b949e98b220d12952
發照日期 四月 2022 · 永久有效

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