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4-6 years
6-10 years
10-15 years
More than 15 years
Engineering Manager @Viscovery 創意引晴股份有限公司2018 ~ Present
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Within one month
Weir, ..., Broad-DREAM Community , Gustavo Stolovitzky, William C Hahn, Adam A Margolin "A community-based challenge for building predictive models of gene essentialities over a large-scale functional screen of cancer cell lines", Cell Systems 3. Erh-Kan King , Chung-Yen Hung, Winston Hsu, "Visual-Textual Convolutional Neural Network: Rening Image Representation With Click-Through Data", to appear in going to submmit in arXiv. Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
Electrical Engineering
Senior software engineer @Compal Electronic, Inc.2019 ~ Present
・
AI工程師、後端工程師
Within one month
Employed
Full-time / Interested in working remotely
4-6 years
National Kaohsiung University of Applied Sciences
・
Computer science and information engineeringAI 工程師 @台灣塑膠工業股份有限公司2020 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within six months
Employed
Full-time / Interested in working remotely
4-6 years
Chung Yuan Christian University
・
Master in Chemical EngineeringEmployed
Full-time / Interested in working remotely
4-6 years
國立嘉義大學
・
資訊工程系
Post Doc position or Research professor
Within one year
of Korea Winter internship, Dept. Research and Development (R&D) - CT Reconstruction Algorithm using Matlab Awards 2021, Asia-oceania Federation of Organization Medical physics Best Ph.D Award Winnner : [link] 2021, Body morphometry AI segmetation challenge (보건복지부) Top prize : Kidney and kidney tumor segmetation network by using nnUnet and STAPLE algorithm 2021, 9th Japan-Korea Joint meeting on Medical physics (한-일 의학물리학회) Young Investigation Award : Beam Angle Optimization for Double-Scattering Proton Delivery Technique Using an Eclipse Application Programming Interface and Convolutional Neural Network 2021, 9th Japan-Korea
Full-time / Interested in working remotely
4-6 years
Yonsei University
・
Dept. Computer engineering
Data Scientist/Machine Learning Engineer @CloudMile_萬里雲2019 ~ Present
・
Data analyst, Machine Learning engineer.
Within six months
智慧家電Chatbot後端平台之開發，使用者可透過LINE直接操作家中的電器，省去使用智慧家電APP操控. (Golang, Heroku, PostgreSQL, Line Chatbot, Azure Cognitive Services) • 實作Convolutional Neural Network與遷移學習在自駕車專案中的物件偵測. (Python, Pandas, Scikit-learn, Tensorflow, Keras) • 建立OTA系統後端開發，讓使用者可以隨時更新韌體.(PHP
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University of Science and Technology
・
Computer Science
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia2014 ~ 2019
・
PHD Student
More than one year
earthquakes beneath southern Vancouver Island publication date MG Bostock, AM Thomas, G Savard, L Chuang, AM Rubin Journal of Geophysical Research: Solid Earth,Ambient tremors in a collisional orogenic belt. publication date LY Chuang, KH Chen, A Wech, T Byrne, W Peng Geophysical Research Letters,Conference presentation A Deep Convolutional Neural Network Model for Earthquake Phase Picking in Taiwan publication date Dec 12, 2019 publication description 2019 AGU meeting Tremor or train? An attempt to discern tremor and noise using a deep convolutional neural network publication date Sep 8, 2019 publication description 2019 SCEC meeting A Machine Learning Approach
Intern / Interested in working remotely
6-10 years
The University of British Columbia
・
M.S. in Geophysics
Senior Software engineer @Cisco Systems2022 ~ Present
・
DeepLearning Engineer
Within one month
on the cutting-edge of robotics, machine learning, software engineering, and mechanical engineering. Learn more Robotics SoftwareND Master advanced robotics software engineering skills, and gain hands-on experience developing solutions that solve challenging robotics and AI problems. Learn more Certificates Continue to pursue online courses to solve a variety of different issues. Fundamentals of Deep Learning for Computer Vision Links Neural Networks and Deep Learning Links Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Links Structuring Machine Learning Projects Links Convolutional Neural Networks Links Python3 for Data Science Links HTML, CSS, Javascript, jQuery,php, mySQL Links
Employed
Full-time / Interested in working remotely
4-6 years
R.O.C. Naval Academy
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Electrical EngineeringThe Most Lightweight and Effective Recruiting Plan
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Adaptability
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Employed
Job Search Progress
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Other
Fields of Employment
Artificial Intelligence / Machine Learning, Software
Work experience
2-4 years
Management
Skills
Languages
English
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Fluent
Job search preferences
Positions
Video/ Image Processing Software Engineer
Job types
Full-time
Locations
Taipei, Taiwan, Taoyuán, 台灣, Hsinchu City, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
National Cheng Kung University
Major
Mechanical Engineering
董書丞
擁有三年深度學習與光學檢測的經驗，擅長以Python及TensorFlow進行電腦視覺及深度學習程式開發，擁有TensorFlow開發者認證，也有實際參加Kaggle比賽得獎的經驗。
目前任職於華碩電腦AIoT的方案開發部，負責針對方案中的影像視覺模型的評估及改良，並協助開發model training 的流程。
Video/ Image Processing Software Engineer
Taipei - Taiwan
Email : [email protected]
Mobile : +886 972 953 659
工作經歷
華碩電腦股份有限公司 演算法程師, 2021.12 ~ Now
- 評估視覺模型在EHS系統上的應用及實驗
- 協助統一開發模型訓練流程
大立光電股份有限公司 視覺影像工程師, 2018.09 ~ 2021.12
- 光學檢測結合影像深度學習於產線辨識
- 導入分類器及物件偵測在機台的產品定位辨識，最終達到98%的機台導入率
- 利用語意分割進行產品的瑕疵辨識，達到95%準確率
- 導入物件偵測於生產線的文字辨識，減少生產線物料使用錯誤
- 建立Inference Serving系統
- 降低模型更新時的辨識延遲
- 自動化線上模型服務伺服器的模型更新，減少人力介入
和和機械股份有限公司 實習生, 2017.07 ~ 2018.02
- 開發及設計焊道檢測儀器，利用Python 及 OpenCV 進行焊道區域的分類及定位
比賽
RSNA-MICCAI Brain Tumor Radiogenomic Classification 2021.07 ~ 2021.10
Predict the status of a genetic biomarker important for brain cancer treatment
成績: 銀牌(57 / 1555)
Google Landmark Recognition 2021 2021.08 ~ 2021.10
Label famous, and not-so-famous, landmarks in images
成績: 銀牌(38 / 383)
SIIM-FISABIO-RSNA COVID-19 Detection 2021.05 ~ 2021.08
Identify and localize COVID-19 abnormalities on chest radiographs.
成績: 銅牌(79 / 1305)
其他學經歷
Algorithms Specialization 2020.09
Stanford University on Coursera
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms
- Graph Search, Shortest Paths, and Data Structures
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Deep Learning Specialization 2020.09
DeepLearning.AI on Coursera
Five course specialization covering Convolutional Neural Networks, hyperparameter tuning, etc.
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
DeepLearning.AI TensorFlow Developer 2020.07
DeepLearning.AI on Coursera
Four course specialization covering image, natural language, and sequence data processing in TensorFlow 2.0.
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Convolutional Neural Networks in TensorFlow
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
學歷
國立成功大學 機械工程學士 2013.07~ 2018.01
相關課程 :
- 電腦視覺
- 機器學習 :
- 利用LSTM進行MNIST資料集的手寫筆畫的分類，最終達到 96.78 % 準確度
認證
TensorFlow Developer Certificate
2021 年 4 月 11 日
TOEFL
2021年 2 月 20 日
Scores: 101
董書丞
擁有三年深度學習與光學檢測的經驗，擅長以Python及TensorFlow進行電腦視覺及深度學習程式開發，擁有TensorFlow開發者認證，也有實際參加Kaggle比賽得獎的經驗。
目前任職於華碩電腦AIoT的方案開發部，負責針對方案中的影像視覺模型的評估及改良，並協助開發model training 的流程。
Video/ Image Processing Software Engineer
Taipei - Taiwan
Email : [email protected]
Mobile : +886 972 953 659
工作經歷
華碩電腦股份有限公司 演算法程師, 2021.12 ~ Now
- 評估視覺模型在EHS系統上的應用及實驗
- 協助統一開發模型訓練流程
大立光電股份有限公司 視覺影像工程師, 2018.09 ~ 2021.12
- 光學檢測結合影像深度學習於產線辨識
- 導入分類器及物件偵測在機台的產品定位辨識，最終達到98%的機台導入率
- 利用語意分割進行產品的瑕疵辨識，達到95%準確率
- 導入物件偵測於生產線的文字辨識，減少生產線物料使用錯誤
- 建立Inference Serving系統
- 降低模型更新時的辨識延遲
- 自動化線上模型服務伺服器的模型更新，減少人力介入
和和機械股份有限公司 實習生, 2017.07 ~ 2018.02
- 開發及設計焊道檢測儀器，利用Python 及 OpenCV 進行焊道區域的分類及定位
比賽
RSNA-MICCAI Brain Tumor Radiogenomic Classification 2021.07 ~ 2021.10
Predict the status of a genetic biomarker important for brain cancer treatment
成績: 銀牌(57 / 1555)
Google Landmark Recognition 2021 2021.08 ~ 2021.10
Label famous, and not-so-famous, landmarks in images
成績: 銀牌(38 / 383)
SIIM-FISABIO-RSNA COVID-19 Detection 2021.05 ~ 2021.08
Identify and localize COVID-19 abnormalities on chest radiographs.
成績: 銅牌(79 / 1305)
其他學經歷
Algorithms Specialization 2020.09
Stanford University on Coursera
- Divide and Conquer, Sorting and Searching, and Randomized Algorithms
- Graph Search, Shortest Paths, and Data Structures
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Deep Learning Specialization 2020.09
DeepLearning.AI on Coursera
Five course specialization covering Convolutional Neural Networks, hyperparameter tuning, etc.
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
DeepLearning.AI TensorFlow Developer 2020.07
DeepLearning.AI on Coursera
Four course specialization covering image, natural language, and sequence data processing in TensorFlow 2.0.
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Convolutional Neural Networks in TensorFlow
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
學歷
國立成功大學 機械工程學士 2013.07~ 2018.01
相關課程 :
- 電腦視覺
- 機器學習 :
- 利用LSTM進行MNIST資料集的手寫筆畫的分類，最終達到 96.78 % 準確度
認證
TensorFlow Developer Certificate
2021 年 4 月 11 日
TOEFL
2021年 2 月 20 日
Scores: 101