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智慧製造全端開發工程師 @聯華電子股份有限公司
2022 ~ Present
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、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學
工業工程與管理學系所
Avatar of 宋浩茹 Ellie Sung.
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
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn | GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
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 Ted Li.
Avatar of Ted Li.
Past
Senior Firmware Engineer @Artesyn Embedded Technologies
2019 ~ 2022
韌體工程師/軟體工程師/控制工程師/演算法工程師/
Within one month
Ted Li Senior Firmware Engineer Over 6 years of firmware/software development expertise as a Senior Firmware Engineer, specializing in embedded systems, cross- functional projects, and RL-optimizations. Driving global technical innovations and training. New Taipei City, Taiwan [email protected] https://github.com/armcortex https://www.linkedin.com/in/ted-li/ https://about.armcortex.cc/ Skill Programming C/C++ Python Bash SQL AI (PyTorch, TensorFlow, Keras) Tool RTOS Embedded System Git Docker/Docker Compose
C
Python
C/C++
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
日本電氣通信大學 The University of Electro-Communications (UEC)
Robotics Engineering
Avatar of the user.
Avatar of the user.
Data Analyst & IoT Software Developer @FARAZ ERTEBAT
2021 ~ Present
Computer Vision / Deep Learning
Within one month
C#
C/C++
MySQL
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
Information Technology | Face Recognition
Avatar of Alex Yu.
Avatar of Alex Yu.
Product Manager @Linker Vision
2023 ~ Present
PM/產品經理/專案管理
Within one month
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
Business Development
Deep Learning
PYTHON
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
電機工程
Avatar of Kao Yu Chun.
Avatar of Kao Yu Chun.
Past
Full Stack Developer @PD Case Informática Ltda
2022 ~ Present
前端工程師 Front-End Developer
Within one month
高鈺鈞 我有超過5年軟體開發經驗的開發者,專注於前端開發。在我的職業生涯中,我有機會接觸到多種編程語言,如Java(包括Android開發),JavaScript,Kotlin,TypeScript和Python;同時也涉及到多種技術和框架,包括Angular,React,Redux,Spring Boot,TensorFlowKeras和OpenCV;還有Oracle,MySQL和ElasticSearch等資料庫技術。 我喜歡迎接
Java
Javascript
docker
Reputation Credits3
Unemployed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
巴西聯邦大學
系統發展與分析
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 ~ Present
Within three months
Python
Vue.js
Node.js / Express.js
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺中科技大學National Taichung University of Science and Technology.
資訊工程系-碩士
Avatar of 許立農.
Avatar of 許立農.
數據科學家 @中國信託商業銀行股份有限公司
2021 ~ 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 three months
許立農 | Hsu, Li-Nung Data Scientist、Data Engineer Taipei [email protected] Education National Chenchi University, MS, Statistics, 2015 – 2017 GPA : 3.84 / 4.0 Master Thesis: Entropy Based Feature Selection, Professor Pei-Ting, Chou Objective: Build a similarity matrix based on Mutual Entropy under Hierarchical Clustering. Afterwards, select clustered features as the final selection. Compare the model with other feature selection methods like RF, Lasso, F-score. National Chen-Kung University, BS, Mathematics, 2011 – 2015 Skills Programing Python Scala R MSSQL Data-related Tools Tensorflow (Keras) PyTorch Spark Docker
Python
R
MSSQL
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
政治大學
統計
Avatar of 王豪逸.
Avatar of 王豪逸.
Software Developer @ZeroLogix
2022 ~ Present
前端工程師 Front-End Developer
Within one month
王豪逸 中山大學資訊管理學系 研究所 [email protected] https://github.com/strongball 技能 程式語言 JavaScript TypeScript Python C Java C# 開發工具 Git Docker Linux(ubuntu) Jest 前端開發 Vue, Nuxtjs React , Nextjs Graphql Restful WebSocket CSS-in-JS, styled-components Electron 後端開發 Graphql ORM(Typeorm, Prisma) MySQL, PostgreSQL 資料分析 / 機器學習 Pytorch TensorFlow Keras Scikit-learn 工作經歷 科林儀器
Python
React.js
Next.js
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學-資管系
資訊管理

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陳得翊 William

Data analyst, Machine learning engineer

我是一個熱愛挖掘潛在問題的統計人,以客觀的角度分析問題及處理,重視團隊合作,開放的態度分享彼此不同的想法和意見,有效率的解決問題。就學期間致力研究於機器學習,降維(Dimension Reduction)以及模型分類問題。並與台北榮民總醫院合作結合人工智慧開發全方位疾病診斷,在臨床上預測病人在一年內是否發生中風,以及是否由肺靜脈引起心房顫動的3D影像分類。

  

Mobile: +886-988-313-160

Email: [email protected]

技能

Python


  • 視覺化:Matplotlib, Seaborn


  • 機器學習套件:
    Tensorflow, Keras, Scikit-learn, Fast.ai, OpenCV

Machine Learning


  • 模型:Random Forest, XGBoost, LightGBM, SVM, CNN, RNN, LSTM, ResNet
  • 特徵選擇:Genetic algorithm, Simulated Annealing

Dimension Reduction


Multidimensional Scaling (MDS), SCMDS, Principal component analysis (PCA), Factor analysis model, Lasso regression

學歷

2018 - 2020

國立交通大學

統計學研究所

論文題目:Using Machine Learning Model and Ensemble Learning to Predict Ischemic stroke

第三屆統計研究成果研討會海報論文競賽—特優獎


2014 - 2018

私立淡江大學

統計學係

相關課程:回歸分析, 類別資料分析, 實驗設計, 無母數統計, 多變量分析, 時間序列, 倖存分析

程式:R, SAS (SAS Certified Base Programmer)

社團:統計系籃球隊-隊長                                           大統盃,亞軍, 2016 大統盃季軍, 2017

專案經驗


國立交通大學與台北榮民總醫院心臟科

預測病人在一年內是否發生中風Ischemic Stroke

                                                                

透過機器學習 (Machine Learning) 預測病人在一年內是否發生腦缺血型中風 (Ischemic stroke) 並且提升模型在 auc 上的表現。研究過程我們遇到資料極度不平衡的問題,透過變數選擇 (Feature Selection) 幫助我們挑選重要的特徵,使用集成學習 (Ensemble Learning)及下採樣 (Under-sampling)結合多個模型及處理資料不平衡的問題。


國立交通大學

Modeling High-dimensional time series by Structural factor model

                      

研究威爾夏5000指數 (Wilshire 5000 index) 成分股,透過主成份分析 (Principle Component Analysis) by Bai and Ng, Ratio-based method by Lam and Yao, and Structural factor model by Gao and Tsai, 找出背後影響5000支股票的潛在變數。對應於潛在變數與5000支股票的權重,得到新的一組投資組合,比較投組與指數的報酬。 



國立交通大學與台北榮民總醫院心臟科

CT Images Classification of PV and Non-PV trigger by 3D Convolution Network

                                                                                                

一位病人通常會有多張CT影像,有些影像包含疾病而有些影像則未包含, 使用3D CNN 可以使模型以病人為單位而非影像。在3D影像前處理對於像素的長寬和影像之間的切片厚度做歸一化。由於每位病人的影像張數不同, 在張數較少的病人上下補上黑色影像。在模型的選擇上使用 3D Resnet 做 模型訓練,針對資料不平衡的問題,我們對病人的影像做旋轉使得少數類 病人與多數類病人以相同比例進入模型。                                                              



Kaggle

Predict Future Sales (Top 8%)

                                                                                                

資料集由俄羅斯1C公司提供,紀錄2013/01~2015/10的日資料,目的是預測下個月每個產品和商店的總銷售額。在EDA探討各變數與總銷售額的marginal effect,以及變數之間對總銷售額的Joint effect,我們在特徵工程將商店與商品名稱所額外提供的資訊,像是城市,產品類別形成了新的變數。最後透過LightGBM經由gridsearch調整超參數後得到在LB的 rmse : 0.89258。                                                  

工作經歷

四月 2020 - 六月 2020

時間序列助教  國立交通大學

批改學生作業以及協助課業問題。

七月 2019 - 八月 2019

因子選股實習生  元大投信

利用統計方法幫助大中華團隊研究A股,挑選出重要因子且建構模型挑選股票。檢定因子間是否存在共線性,影響下一期報酬率估計。最後透過因子表現分成五組,回測並且比較各組表現。實習期間與主管配合良好,經理人提供想法以及自己的選股邏輯,我再透過檢定和回歸等相關統計方法實現,彼此互助學習讓我獲益良多。

七月 2016 - 八月 2016

顧問助理  VIT Advisors Limited(維億投資顧問有限公司)

陪同顧問到中國海口平安銀行做諮詢及授課,負責記錄諮詢重點。

Resume
Profile

陳得翊 William

Data analyst, Machine learning engineer

我是一個熱愛挖掘潛在問題的統計人,以客觀的角度分析問題及處理,重視團隊合作,開放的態度分享彼此不同的想法和意見,有效率的解決問題。就學期間致力研究於機器學習,降維(Dimension Reduction)以及模型分類問題。並與台北榮民總醫院合作結合人工智慧開發全方位疾病診斷,在臨床上預測病人在一年內是否發生中風,以及是否由肺靜脈引起心房顫動的3D影像分類。

  

Mobile: +886-988-313-160

Email: [email protected]

技能

Python


  • 視覺化:Matplotlib, Seaborn


  • 機器學習套件:
    Tensorflow, Keras, Scikit-learn, Fast.ai, OpenCV

Machine Learning


  • 模型:Random Forest, XGBoost, LightGBM, SVM, CNN, RNN, LSTM, ResNet
  • 特徵選擇:Genetic algorithm, Simulated Annealing

Dimension Reduction


Multidimensional Scaling (MDS), SCMDS, Principal component analysis (PCA), Factor analysis model, Lasso regression

學歷

2018 - 2020

國立交通大學

統計學研究所

論文題目:Using Machine Learning Model and Ensemble Learning to Predict Ischemic stroke

第三屆統計研究成果研討會海報論文競賽—特優獎


2014 - 2018

私立淡江大學

統計學係

相關課程:回歸分析, 類別資料分析, 實驗設計, 無母數統計, 多變量分析, 時間序列, 倖存分析

程式:R, SAS (SAS Certified Base Programmer)

社團:統計系籃球隊-隊長                                           大統盃,亞軍, 2016 大統盃季軍, 2017

專案經驗


國立交通大學與台北榮民總醫院心臟科

預測病人在一年內是否發生中風Ischemic Stroke

                                                                

透過機器學習 (Machine Learning) 預測病人在一年內是否發生腦缺血型中風 (Ischemic stroke) 並且提升模型在 auc 上的表現。研究過程我們遇到資料極度不平衡的問題,透過變數選擇 (Feature Selection) 幫助我們挑選重要的特徵,使用集成學習 (Ensemble Learning)及下採樣 (Under-sampling)結合多個模型及處理資料不平衡的問題。


國立交通大學

Modeling High-dimensional time series by Structural factor model

                      

研究威爾夏5000指數 (Wilshire 5000 index) 成分股,透過主成份分析 (Principle Component Analysis) by Bai and Ng, Ratio-based method by Lam and Yao, and Structural factor model by Gao and Tsai, 找出背後影響5000支股票的潛在變數。對應於潛在變數與5000支股票的權重,得到新的一組投資組合,比較投組與指數的報酬。 



國立交通大學與台北榮民總醫院心臟科

CT Images Classification of PV and Non-PV trigger by 3D Convolution Network

                                                                                                

一位病人通常會有多張CT影像,有些影像包含疾病而有些影像則未包含, 使用3D CNN 可以使模型以病人為單位而非影像。在3D影像前處理對於像素的長寬和影像之間的切片厚度做歸一化。由於每位病人的影像張數不同, 在張數較少的病人上下補上黑色影像。在模型的選擇上使用 3D Resnet 做 模型訓練,針對資料不平衡的問題,我們對病人的影像做旋轉使得少數類 病人與多數類病人以相同比例進入模型。                                                              



Kaggle

Predict Future Sales (Top 8%)

                                                                                                

資料集由俄羅斯1C公司提供,紀錄2013/01~2015/10的日資料,目的是預測下個月每個產品和商店的總銷售額。在EDA探討各變數與總銷售額的marginal effect,以及變數之間對總銷售額的Joint effect,我們在特徵工程將商店與商品名稱所額外提供的資訊,像是城市,產品類別形成了新的變數。最後透過LightGBM經由gridsearch調整超參數後得到在LB的 rmse : 0.89258。                                                  

工作經歷

四月 2020 - 六月 2020

時間序列助教  國立交通大學

批改學生作業以及協助課業問題。

七月 2019 - 八月 2019

因子選股實習生  元大投信

利用統計方法幫助大中華團隊研究A股,挑選出重要因子且建構模型挑選股票。檢定因子間是否存在共線性,影響下一期報酬率估計。最後透過因子表現分成五組,回測並且比較各組表現。實習期間與主管配合良好,經理人提供想法以及自己的選股邏輯,我再透過檢定和回歸等相關統計方法實現,彼此互助學習讓我獲益良多。

七月 2016 - 八月 2016

顧問助理  VIT Advisors Limited(維億投資顧問有限公司)

陪同顧問到中國海口平安銀行做諮詢及授課,負責記錄諮詢重點。