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Taipei, Taiwan
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Soochow University
東吳大學
Taipei, Taiwan
Taiwan
台灣
Taipei City, Taiwan
台北市, 台灣
New Taipei City, Taiwan
新北市, 台灣
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品牌行銷
專案企劃;專案經理;後端工程師;系統分析師
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2022
2008
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ATM Electronic
Costa Exchange
Pactera
世界健身
台灣大學
松山運動中心
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科萊博瑞科技有限公司
艾絲資訊股份有限公司
誠品總公司
Tertarik bekerja jarak jauh
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4-6 tahun
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Taipei, Taiwan
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Avatar of Winter Wu.
Avatar of Winter Wu.
Winter Wu
行政人員 @誠品總公司
・
2016 ~ 2016
品牌行銷
Lebih dari satu tahun
合作及交流想法。 技能 電腦文書 Word Power Point Excel 簡報製作 繪圖 Adobe llustrator Adobe Photoshop 健身 中華民國健身指導員C級 RTS Thump Boxing 學歷 樹人醫療專科學校, 其他, 物理治療系, 2019 ~ 2022 取得考物理治療師的資格 中國文化大學, 學士學位, 廣告系行銷組, 2015 ~ 2020 學習廣告的行銷企劃
word
powerpoint
excel
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
樹人醫療專科學校
・
物理治療系
Avatar of 張巍瀛.
Avatar of 張巍瀛.
張巍瀛
Past
系統分析師 @ATM Electronic
・
2015 ~ 2018
專案企劃;專案經理;後端工程師;系統分析師
Dalam tiga bulan
系統分析師, Jun 2019 ~ Feb平台需求及規格文件撰寫。 2. 釐清需求檢核邏輯以及流程細節。 3. 協調所需時程，並依用戶提供之資料設計功能。 4. 系統功能驗證測試，與用戶驗收與再調整之協調溝通 5. 系統操作問題排除與排查系統產生邏輯 ATM
MSSQL
VS Code
Sublime Text
Tidak bekerja
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
東吳大學
・
資訊科學

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Dalam enam bulan
Avatar of Zhao-Yang Zhuang.
Zhao-Yang Zhuang
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
・
2022 ~ Sekarang
Taiwan
Latar Belakang Profesional
Status sekarang
Sudah bekerja
Tahap pencarian kerja
Profesi
Software Engineer, Research / R&D, Machine Learning Engineer
Bidang Pekerjaan
Manufaktur, Intelegensi Artifisial/Pemelajaran Mesin, Software
Pengalaman Kerja
1-2 tahun
Management
Tidak ada
Keterampilan
Python
C++
Tensorflow (Keras)
OpenCV
Revit
Deep Learning
Artificial Intelligence
mechine learning
Computer Vision
Halcon
Bahasa
Chinese
・
Bahasa ibu atau Bilingual
English
・
Menengah
Japanese
・
Pemula
Preferensi Pencarian Pekerjaan
Jabatan
機器學習、資料科學工程師
Tipe Pekerjaan
Full-time
Lokasi
Taiwan, 台灣, Taipei, 台灣
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Ya, saya adalah freelancer amatir.
Pendidikan
Institusi Pendidikan
National Taiwan University
Jurusan
Civil Engineering
Cetak
W8pta5tkps8w1p7ljk0l

Zhao-Yang Zhuang (莊昭陽)

Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.

ML engineer  Data scientist

  [email protected]       https://www.linkedin.com/in/rogan-zhuang/

  https://github.com/ZhuangRogan

Educations

National Taiwan University

Civil Engineering, Computer-Aided Engineering Group (M.S. degree)

(2018 ~ 2020)

Master Thesis: 

Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.

University@2x

Work Experiences

(Automation Services Co., LTD.)  (AI/CV Engineer)

(Feb, 2021 - Oct, 2021)
  • The main developer of AI/CV algorithm.
  • Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.

Research Experiences

Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network   

(Dec, 2019 - Jun, 2020)

Robotic LAB, NTU & 祐彬 Construction Co., Ltd

  • Predicting the future position of a payload by RKN to assist in the automation of crane.
  • The state of the payload system can be inferred by the combined information between the image pixels.
Key achievement: Assists the automation of the crane in a new way, and does not require any physical parameters but only image data of the payload. RKN, the new time-series forecasting architecture will be 10x better than LSTM.

Tensorflow(Keras) OpenCV Python C/C++  Deep Learning 

The second generation of automatic fabric inspection machine 

 (Feb, 2021 - Apr, 2021)

Automation Services Co., LTD.

  • Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
  • Calculate the area and location of defects by semantic segmentation.
  • The prototype machine can detect the width of about two meters with eight cameras.

 C# Deep Learning

The third generation of automatic fabric inspection machine 

 (May, 2021 - Oct, 2021)

Automation Services Co., LTD.

  • Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
  • This mass production machine is online.
  • Not implemented using Tensorflow or Pytorch.

Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.

C# Deep Learning Cameras System Multithread Programming

Side Projects

  • Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
  • Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation. 
  • HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
  • Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]
CV
Profil
Cetak
W8pta5tkps8w1p7ljk0l

Zhao-Yang Zhuang (莊昭陽)

Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.

ML engineer  Data scientist

  [email protected]       https://www.linkedin.com/in/rogan-zhuang/

  https://github.com/ZhuangRogan

Educations

National Taiwan University

Civil Engineering, Computer-Aided Engineering Group (M.S. degree)

(2018 ~ 2020)

Master Thesis: 

Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.

University@2x

Work Experiences

(Automation Services Co., LTD.)  (AI/CV Engineer)

(Feb, 2021 - Oct, 2021)
  • The main developer of AI/CV algorithm.
  • Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.

Research Experiences

Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network   

(Dec, 2019 - Jun, 2020)

Robotic LAB, NTU & 祐彬 Construction Co., Ltd

  • Predicting the future position of a payload by RKN to assist in the automation of crane.
  • The state of the payload system can be inferred by the combined information between the image pixels.
Key achievement: Assists the automation of the crane in a new way, and does not require any physical parameters but only image data of the payload. RKN, the new time-series forecasting architecture will be 10x better than LSTM.

Tensorflow(Keras) OpenCV Python C/C++  Deep Learning 

The second generation of automatic fabric inspection machine 

 (Feb, 2021 - Apr, 2021)

Automation Services Co., LTD.

  • Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
  • Calculate the area and location of defects by semantic segmentation.
  • The prototype machine can detect the width of about two meters with eight cameras.

 C# Deep Learning

The third generation of automatic fabric inspection machine 

 (May, 2021 - Oct, 2021)

Automation Services Co., LTD.

  • Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
  • This mass production machine is online.
  • Not implemented using Tensorflow or Pytorch.

Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.

C# Deep Learning Cameras System Multithread Programming

Side Projects

  • Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
  • Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation. 
  • HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
  • Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]