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4〜6年
6〜10年
10〜15年
15年以上
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
國立台灣大學
・
Electrical Engineering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 engineeringAI 工程師 @台灣塑膠工業股份有限公司2020 ~ 現在
・
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
6ヶ月以内
就職中
フルタイム / リモートワークに興味あり
4〜6年
Chung Yuan Christian University
・
Master in Chemical Engineering
資深JAVA工程師 @智誠科技2020 ~ 2021
・
軟體工程師
1年以内
認證 工作經歷 中冠資訊 — 軟體工程師，2021年 04 月 - 至今 ➤ AI辨識（Python） 使用Scaled-YOLOv4進行噴字、手寫、物體與人形等識別。 使用Keras、TensorFlow撰寫Convolutional Neural Network (CNN)手寫數字偵測。 建立轉檔機制以解析SEQ檔與VBB檔成影像標記檔用以協助AI訓練。 利用OpenCV 開發邊緣偵測系統與輪
就職中
フルタイム / リモートワークに興味あり
4〜6年
國立嘉義大學
・
資訊工程系
Post Doc position or Research professor
1年以内
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
フルタイム / リモートワークに興味あり
4〜6年
Yonsei University
・
Dept. Computer engineering
Data Scientist/Machine Learning Engineer @CloudMile_萬里雲2019 ~ 現在
・
Data analyst, Machine Learning engineer.
6ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University of Science and Technology
・
Computer Science
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia2014 ~ 2019
・
PHD Student
1年以上
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 / リモートワークに興味あり
6〜10年
The University of British Columbia
・
M.S. in Geophysics
Senior Software engineer @Cisco Systems2022 ~ 現在
・
DeepLearning Engineer
1ヶ月以内
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
就職中
フルタイム / リモートワークに興味あり
4〜6年
R.O.C. Naval Academy
・
Electrical Engineering
Java Software Engineer @Music Reports Inc2020 ~ 現在
・
Java Software Engineer
1年以上
platforms to strengthen the company's brand and identity. Tested websites and performed troubleshooting prior to deployment. Sales Support Lead • Best Buy JuneOctober 2016 Consulted with sales and management to refine individual and team deliverables; interpret complex analyses and reports, making complex decisions to drive effective business outcomes. EducationCalifornia State University Computer Science Projects CohibaMate (Cigar Label Authentication) CohibaMate utilizes Google's Tensorflow to train a deep convolution neural network on an exclusive data-set. The pre-trained model with a 97% accuracy rate is then used by a Python/ Flask app...
フルタイム / リモートワークに興味あり
4〜6年
California State University
・
Computer ScienceAI & Embedded Systems Consultant @Self Employed2021 ~ 現在
・
Deep Learning Engineer
1年以上
Perforce, Pycharm, CVS, Jira, Confluence Google Coral TPU, Lattice ECP5, U+, Crosslin-NX FPGA, Raspberry Pi, Intel Movidius, NVIDIA GPU Compute Engine, App Engine, Vision API, Auto-ML, Container Registry, Kubernetes Engine Sagemaker, DeepLens, Lambda, Rekognition API, Reko API custom labels Docker, OpenCV, Machine Learning, Deep Learning, Computer Vision, Convolution Neural Nets (CNN), LSTM, Networking, Model Optimization, Quantization, Pruning, Linux Kernel, OpenWRT Work Experience Work Experience AI & Embedded Systems Consultant Self-Employed • FebruaryPresent Working with companies to blend AI with embedded systems specifically to enable AI on edge devices, including the device ecosystem. Staff Engineer Softnautics • SeptemberFebruary 2021
就職中
フルタイム / リモートワークに興味あり
4〜6年
Charotar University of Science & Technology
・
Electronics & Communication最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
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UI designer -UX
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
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人工知能／機械学習, ソフトウェア
職務経験
2〜4年
Management
スキル
言語
English
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流暢
Job search preferences
希望のポジション
Video/ Image Processing Software Engineer
求人タイプ
フルタイム
希望の勤務地
Taipei, Taiwan, Taoyuán, 台灣, Hsinchu City, 台灣
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
National Cheng Kung University
専攻
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