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莊承翰
Algorithm Engineer
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莊承翰

Algorithm Engineer
The devil is in the detail. 目前專研在deep learning,為團隊尋找/驗證/分析各種新方法,並結合不同方法到實際的場域中,銜接學術理論到實際應用。
Delta Electronics
National Chin-Yi University of Technology
Taipei, Taiwan

Professional Background

  • Statut Actuel
    Employé
  • Profession
    Data Scientist
  • Fields
    Manufacturing
  • Expérience professionnelle
    6 à 10 ans (4 à 6 ans pertinente)
  • Management
  • Skills
    Software Development
    Python
    C++
    Deep Learning
    Computer Vision
  • Languages
    English
    Intermédiaire
  • Highest level of education

Job search preferences

  • Desired job type
    Temps plein
    Je ne suis pas intéressé par le travail à distance
  • Desired positions
    Algorithm Engineer
  • Lieu de travail désiré
    Taipei, Taiwan
  • Freelance
    Je ne suis pas indépendant

Work Experience

Algorithm Engineer

juil. 2017 - Présent
台灣 台北市 [Projects]   ╴TFT-LCD defect detection  ╴Scratch detecion  ╴Algorithms system Development & Maintain [Detail]  ╴TFT-LCD defect detection   Achieve the accuracy 85-95%+, 5~30 categories (depend on different projects)   improve the accuracy by 8%(compared with the previous)  ╴Transfer Learning (transfer the model that trained from domain A to domain B (same categories as domain A) without label data of domain B)   Increase the accuracy from 13%(before transfer) to 82%(after transfer) (11 categories).  ╴Scratch detection by only the golden image  ╴The techniques have been studied   Inbalance data Handle   Domain Adaptation   Semi/Self supervised method   Data Augmentation   Noise data detection   New class detection   Abnormal detection

Algorithm Engineer

avr. 2016 - juil. 2017
1 yr 4 mos
台灣 新北市 License Plate Recognition System - Algorithms development - UI Pedestrian Detection - Algorithms development Thermal Image Enhancement - Enhance existing algorithms Product Maintain and Support

Algorithm Engineer

oct. 2014 - févr. 2016
1 yr 5 mos
台灣 台北市 License Plate Algorithms Development - License Plate Detection - Character Segmentation - Rotation Correction People Counting Algorithms Enhance - Executive Performance Improve - System maintain Product Debug and Maintain