CakeResume Talent Search

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4〜6年
6〜10年
10〜15年
15年以上
Avatar of 戴玉林.
Avatar of 戴玉林.
高級工程師 @東佑達自動化科技股份有限公司
2021 ~ 2023
研發工程師
1ヶ月以内
試。 ·針對1KW以下馬達動力計開發。 ·各項馬達驅動控制測試及電氣特性測試。 Skills Programming Language C# | .NET | Python CAD AutoCAD Mechanical FreeCAD EDA Altium Designer KiCad Proteus Machine Vision MVTec HALCON OpenCV Experience 規劃和執行新產品的開發或現有專案的開發研究支援。 開發和維護視覺系統,整合影像擷取、機器控制、影像處理、影
Halcon vision
AutoCAD Mechanical
Proteus
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
10〜15年
正修科技大學(Cheng Shiu University)
機械工程系
Avatar of 潘揚燊.
Avatar of 潘揚燊.
智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ 現在
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
1ヶ月以内
分析,檢視錯誤原因,如: 負擔過重、溫度過高等。 Skills Python Langchain Numpy OpenCV Tensorflow (tf.keras) Pytorch Scikit-learn C# EmguCV ASP.NET Windows Forms 程式設計開發、單元測試專案 Halcon 影像處理 影像定位 瑕疵判斷 物件量測 Skills Database MySQL Oracle ArangoDB LLM Tool:langchain Vector DB:Milvus API:AzureOpenai API、FastAPI MessageBus RabbitMQ TibcoRV Skills R language 數據分析 文字探勘 統計分析
Python
Qt
Git
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
元智大學 Yuan Ze University
工業工程與管理學系所
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Avatar of the user.
技術部門經理 @沛鑫包裝科技
2018 ~ 現在
R & D technologist/program manager
1ヶ月以内
Computer Vision
c#
Automation
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
6〜10年
國立中興大學
機械
Avatar of CHENG-HUI YANG.
Avatar of CHENG-HUI YANG.
Senior Software Engineer @USUN TECHNOLOGY
2019 ~ 現在
1ヶ月以内
CHENG-HUI YANG Senior Software Engineer/Machine Vision Engineer Inspection Machine (AOI & AI) Vision Project Evaluation Focus on 2D&3D defect algorithm detection Visual project scheduling control Yield Tuning Verification & Project Transaction Processing Hsinchu City, Taiwan 300 工作年資 Total working experience: 10~11 years Relevant work experience: 5~6 years 技能 Machine Learning MVTec HALCON Cognex Vision Pro Visual C# office software 語言 Chinese — 母語或雙語 English — 初階 工作經歷 Senior Software Engineer USUN TECHNOLOGY 八月Taoyuan City, Taiwan 1. Project management 2. Machine
Deep Learning
MVTec HALCON
Cognex Vision Pro
就職中
就職希望
フルタイム / リモートワークに興味あり
4〜6年
FCU University
Applied Mathematics
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Avatar of the user.
系統工程師 @筑波醫電
2016 ~ 現在
資深軟體工程師
1ヶ月以内
C#
UWP
Winform
就職中
就職希望
フルタイム / リモートワークに興味あり
10〜15年
交通大學
生醫工程暨資訊工程研究所
Avatar of the user.
Avatar of the user.
高級軟體工程師 @瀚宇彩晶股份有限公司
2022 ~ 現在
1ヶ月以内
Python
Vue.js
Node.js / Express.js
就職中
就職希望
フルタイム / リモートワークに興味あり
6〜10年
國立臺中科技大學National Taichung University of Science and Technology.
資訊工程系-碩士
Avatar of 王婉蓉.
Avatar of 王婉蓉.
影像工程師 @恆昌精密科技股份有限公司
2018 ~ 現在
軟體工程師
6ヶ月以内
硬體維護更新 機台控制系統與伺服馬達通訊 自動餵料系統 在這些專案中,我使用了以下技術: 1. 影像處理套件: a、 OpenCV b、 Halcon 2. 程式語言: a、 Vb6 b、 C# c、 Python d、 C++ 3. 作業系統:Linux 這份工作當中是需要跑第一線與客戶接觸、進行機台軟硬體
Vue.js
PHP
MySQL
就職中
フルタイム / リモートワークに興味あり
4〜6年
長榮大學
資訊管理系
Avatar of 許忠強.
Avatar of 許忠強.
軟體工程師 @Zealogics Taiwan_美商邏輯技術有限公司台灣分公司-派駐於ASML(艾斯摩爾)
2022 ~ 現在
Software Engineer
1年以内
有限公司 ,AOI影像視覺工程師,2020 年 3月年 11月 1.AOI機台量檢開發 -視覺系統評估與搭配 -開發彩色大圖像視覺處理,採用Halcon視覺定位、瑕疵檢測和量測演算法,並完成優演算法優化,由12秒降低至4秒(含LineScan取像和PLC通訊), 提升 67% 檢測效率 ,並 提升
C#
Halcon vision
Microsoft Office
就職中
フルタイム / リモートワークに興味あり
6〜10年
逢甲大學
航太與系統工程學系
Avatar of 張文鴻.
Avatar of 張文鴻.
Software Engineer @昇陽國際半導體
2022 ~ 現在
自動化軟體工程師、影像處理工程師、AI處理工程師、演算法工程師
6ヶ月以内
對位演算、雷射光學應用; 3.SECS/GEM的系統規劃、開發、維護 4.RS232、Socket、TCP/IP通訊元件測試開發 5.影像處理演算法開發(Halcon) 八月一月 2017 學生 臺北市立大學 research computer vision 學歷Taipei Municipal University of Education 資訊科學系嶺東科技大學 資訊科技系 專案 Project Name Lorem ipsum dolor sit amet, consectetuer
Communication
EAP
MES
就職中
フルタイム / リモートワークに興味あり
4〜6年
Taipei Municipal University of Education
資訊科學系
Avatar of 楊哲維.
Avatar of 楊哲維.
Senior software engineer @Compal Electronic, Inc.
2019 ~ 現在
AI工程師、後端工程師
1ヶ月以内
. , Software engineerDefect detector (86 inch TV panel) 面板瑕疵檢測設備,自動檢測面板產品的瑕疵,以篩選出損壞的產品維持產線產品良率。 ● Windows forms(C#) ● Halcon - 取像模組、光源設計 - 瑕疵 檢測程式製作 2. Defect detector for micro LED Micro LED的檢測瑕疵檢測機台。 ● Python, OpenCV - micro LED產品要檢測的目標更為
Deep Learning
AOI
c#
就職中
フルタイム / リモートワークに興味あり
4〜6年
National Kaohsiung University of Applied Sciences
Computer science and information engineering

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6ヶ月以内
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
2022 ~ 現在
Taiwan
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Manufacturing, 人工知能/機械学習, ソフトウェア
職務経験
1〜2年
Management
なし
スキル
Python
C++
Tensorflow (Keras)
OpenCV
Revit
Deep Learning
Artificial Intelligence
mechine learning
Computer Vision
Halcon
言語
Chinese
ネイティブまたはバイリンガル
English
中級者
Japanese
初心者
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希望のポジション
機器學習、資料科學工程師
求人タイプ
フルタイム
希望の勤務地
Taiwan, 台灣, Taipei, 台灣
リモートワーク
リモートワークに興味あり
Freelance
はい、私はアマチュアのフリーランスです。
学歴
学校
National Taiwan University
専攻
Civil Engineering
印刷
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%]
Resume
プロフィール
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%]