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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

Latar Belakang Profesional

  • Status sekarang
    Sudah bekerja
  • Profesi
    Data Scientist
  • Bidang
    Manufaktur
  • Pengalaman Kerja
    6-10 tahun (relevan 4-6 tahun)
  • Management
  • Skil
    Software Development
    Python
    C++
    Deep Learning
    Computer Vision
  • Bahasa
    English
    Menengah
  • Pendidikan tertinggi

Preferensi pencarian kerja

  • Jenis pekerjaan yang diinginkan
    Full-time
    Tidak tertarik bekerja jarak jauh
  • Jabatan pekerjaan yang diinginkan
    Algorithm Engineer
  • Lokasi pekerjaan yang diinginkan
    Taipei, Taiwan
  • Bekerja lepas
    Non-pekerja lepas

Pengalaman Kerja

Algorithm Engineer

07/2017 - Sekarang
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

04/2016 - 07/2017
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

10/2014 - 02/2016
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