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4-6 years
6-10 years
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Taipei City, Taiwan
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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 one month
Python
R
Natural Language Processing (NLP)
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
資訊科學系
Avatar of 梁賦康 (Foo-Hong, Leong).
Avatar of 梁賦康 (Foo-Hong, Leong).
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
梁賦康 (Foo-Hong, Leong) Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
Python
Power BI
Data Analytics
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
Mechanical Engineering
Avatar of the user.
Avatar of the user.
Past
Senior Data Analyst @趨勢科技
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
python
R
SQL
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
統計資訊學系
Avatar of Nelson Chen.
Avatar of Nelson Chen.
Senior engineer @Chicony Electronics Co, Ltd.
2018 ~ Present
全端工程師、後端工程師、前端工程師、軟體專案主管、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 one month
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. .Build an Auto-Encoder AI model for defective detection. .Build an object detection model for detecting car types. .Developed a Front-End and Back-End website for data analysis. .Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd .Developed and maintained MFP driver
Python
C
C++
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
Computer science and engineering
Avatar of 傅群.
Avatar of 傅群.
Data Science Competition Participant @Self-Employed
2020 ~ Present
資料科學家
Within one month
傅群| [email protected] https://www.linkedin.com/in/chun-fu/ https://www.kaggle.com/patrick0302 我是一名擁有豐富機器學習和數據分析經驗的專業人士,包含了學術界的博士學歷及豐富的業界經驗,尤其在能源和建築領域有著全面的專案經驗。以下是我職業生
Microsoft Office
python
machine learning
Studying
Ready to interview
Full-time / Interested in working remotely
4-6 years
National University of Singapore
Department of building
Avatar of 蕭舜誠-Shawn.
Avatar of 蕭舜誠-Shawn.
Firmware Engineer @Lanner Electronics Inc.
2021 ~ Present
Firmware Engineer, Firmware Developer, Embedded Software Engineer
Within one month
and a Bachelor’s degree in Electronic Engineering from the NKFUST. Proficient in firmware development using C, with hands-on experience in Embedded Linux System, MCU and Linux System, such as the OOB solution(on NUC980), Platform software Package, and FreeRTOS(on STM32) . comprehended to Python, TensorFlow, and machine learning concepts during university studies. Furthermore, I have proven track record of independently tackling challenging technical projects and embracing new technologies. I am passionate about continuous learning and self-improvement, as evidenced by my engagement in OOB solution, FreeRTOS, Yocto Linux kernel and machine learning with Python
C
ARM
Linux
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學(原國立高雄第一科技大學)
電子工程
Avatar of 鄒適文.
Avatar of 鄒適文.
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
Within one month
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
python
tensorflow
keras
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
大氣科學所
Avatar of GISH Shao.
Avatar of GISH Shao.
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司
2022 ~ Present
AI Engineer
Within one month
retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform
Python
SQL
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
Business Administration
Avatar of 曾儀婷.
Cloud Solution Architect
Within two months
improve custo mer targeting, efficiency of back-office operations, and reduced costs through AWS IoT, Big Data, and Machine Learning solutions # AWS IoT Core, AWS IoT Event, AWS IoT Analytics, AWS Greengrass, AWS Glue, AWS Kinesis Service, AWS S3, AWS API Gateway, AWS lambda, AWS Step Function Design hands-on tutorials for the training course - AWS solutions architect, security, Develop, IoT, big data, and Machine Learning tutorials - Azure solutions architect Develop and Design patten for e-learning platform - Designed strict lab policy for e-learning platform lab and reducing 75% of the total cost - Azure pat...
JavaScript
Python
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺灣科技大學
資訊管理
Avatar of the user.
Avatar of the user.
資料科學家 主任 @太古汽車集團_英屬維京群島商太古國際汽車股份有限公司台灣分公司
2022 ~ Present
Data Scientist, Data Analyst, Machine Learning Engineer, Supply Chain Manager, Data Science Manager,
Within one month
SEO Optimization
SEO strategy
Google Analytics
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
麻省理工學院Massachusetts Institute of Technology
Data Science and Machine Learning

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Definition of Reputation Credits

Technical Skills
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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
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More than one year
台灣基隆
Professional Background
Current status
Unemployed
Job Search Progress
Not open to opportunities
Professions
Machine Learning Engineer
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Tensorflow/Keras
OpenCV
Pandas Scikit-Learn Matplotlib
python programming
Deep learning with TensorFlow
Machine Learning
Languages
English
Intermediate
Job search preferences
Positions
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
Job types
Full-time
Locations
台灣台北市
Remote
Interested in working remotely
Freelance
No
Educations
School
淡江大學
Major
資訊工程學系
Print

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

淡江大學資訊工程碩士

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習|影像處理 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術,並將其應用於醫療影像的判讀以及醫療報告生成,期許利用自身所學,降低醫療系統的龐大負擔。在學期間曾參加全國性競賽,並於2019全國智慧製造大數據競賽成功進入決賽,以及2021 Tomofun狗音辨識AI挑戰賽排名前9%,樂於應用自身所學解決各領域所遇到的問題。

Skills

Programing & IDEs


  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package


  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms


  • Data Preprocessing
  • Feature Engineering 
  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning


  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification
  • Image Captioning

  • CNN

  • BERT

競賽經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型,排名前9% (27/300)。 

關鍵字:  log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料,預測其中20個設定參數的數據。

指導兩位淡江機電系大學生組隊參加,負責演算法開發,資料前處理。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

與兩位淡江機電系研究生組隊參加,負責演算法開發資料前處理 

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

其他經歷


 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師,負責淡江資工系大學生App Inventor 2  課程,使用App Inventor 2 做出Android App,提升大學生的程式基本概念。

 Aug 2016 - Aug 2017

法務部行政執行署高雄分署-替代役管理幹部

於行政執行署高雄分署服役時,擔任替代役管理幹部,協助長官管理役男生活起居,輔助長官完成交辦事項。

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫,使用VGG以及ResNet做為影像特徵擷取模型,並使用 Conditional Layer Normalization,來控制 BERT 生成相對應的文字報告,最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet,可達到 BLEU-1 : 0.636,其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料,利用Opencv影像經過膨脹處理,使用Otsu二值化做背景去除&手勢定位,利用VGG-19建立分類模型,模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features,堆疊成三維影像做為訓練資料,並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構,測試準確率91.2%ROC Curve score 為 0.981在競賽中排名前9% (27/300)


Resume
Profile

  Keelung City, Taiwan

Email: [email protected]

Phone: 0933101297

Github: github.com/Rainman5042 

簡孝羽

淡江大學資訊工程碩士

  AI Engineer  | 積極負責 | 擅於溝通 | 適應力強 | 勇於嘗試新事物

  • 多次競賽相關經驗
  • 碩士研究 - 基於深度學習 BERT 語言模型之醫療影像報告生成系統
  • 深度學習|影像處理 自然語言

於碩士在學期間研究影像處理、自然語言以及影像描述等技術,並將其應用於醫療影像的判讀以及醫療報告生成,期許利用自身所學,降低醫療系統的龐大負擔。在學期間曾參加全國性競賽,並於2019全國智慧製造大數據競賽成功進入決賽,以及2021 Tomofun狗音辨識AI挑戰賽排名前9%,樂於應用自身所學解決各領域所遇到的問題。

Skills

Programing & IDEs


  • Python ( 3+ years experience )
  • Jupyter Notebook
  • Visual Studio

Package


  • Tensorflow 
  • Keras
  • Scikit-Learn
  • Numpy
  • Pandas
  • NLTK
  • OpenCV
  • Matplotlib

ML Algorithms


  • Data Preprocessing
  • Feature Engineering 
  • Model Design, Training

  • Data Visualization

  • Transfer Learning  

Machine Learning


  • Statistic Analysis
  • Linear/Logistic Regression
  • Classification
  • Image Captioning

  • CNN

  • BERT

競賽經歷

Jun 2021 - July 2021

2021 Tomofun狗音辨識 AI 百萬挑戰賽

題目: 利用主辦方所提供的六種居家環境音建立音源分類模型,排名前9% (27/300)。 

關鍵字:  log-Mei spectrum, EfficentNet, Mixup, SpecAugment

May 2020 - Jun 2020

2020全國智慧製造大數據競賽 

題目: 以加工機台的設定參數作為訓練資料,預測其中20個設定參數的數據。

指導兩位淡江機電系大學生組隊參加,負責演算法開發,資料前處理。

關鍵字: Hot Deck Imputation, LightGBM, K-fold

May 2019 - Jun 2019

2019全國智慧製造大數據競賽 - 進入決賽

題目: 利用刀具加工震動數據預測刀具磨耗類別與加工工件表面品質。

與兩位淡江機電系研究生組隊參加,負責演算法開發資料前處理 

關鍵字: Fast Fourier transform, MFCCs, Linear Regression

其他經歷


 Sep 2019 - Jan 2020

大學助理教師

研究生時擔任助理教師,負責淡江資工系大學生App Inventor 2  課程,使用App Inventor 2 做出Android App,提升大學生的程式基本概念。

 Aug 2016 - Aug 2017

法務部行政執行署高雄分署-替代役管理幹部

於行政執行署高雄分署服役時,擔任替代役管理幹部,協助長官管理役男生活起居,輔助長官完成交辦事項。

學歷

淡江大學

資訊工程學系碩士

2018 - 2020

真理大學

企業管理學系學士

2012 - 2016

碩士論文

基於深度學習 BERT 語言模型之醫療影像報告生成系統

使用IU X-Ray以及PEIR Gross醫療影像資料庫,使用VGG以及ResNet做為影像特徵擷取模型,並使用 Conditional Layer Normalization,來控制 BERT 生成相對應的文字報告,最後使用集束搜尋 (Beam Search) 來增加輸出文字的準確度。研究結果顯示使用BERT結合VGG或ResNet,可達到 BLEU-1 : 0.636,其表現皆優於其他使用RNN的語言模型 。

使用VGG19建立手勢辨識模型

使用24個英文字母手勢影像做為訓練資料,利用Opencv影像經過膨脹處理,使用Otsu二值化做背景去除&手勢定位,利用VGG-19建立分類模型,模型準確率可達到99.5%。

Tomofun狗音辨識 AI 百萬挑戰賽

利用主辦方所提供的六種居家環境音建立音源分類模型

使用log-Mel-Spectrum結合Delta Features & Accelerate features,堆疊成三維影像做為訓練資料,並使用了 SpecAugment、Mixup等前處理。使用 EfficientNet 做為主要的模型架構,測試準確率91.2%ROC Curve score 為 0.981在競賽中排名前9% (27/300)