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博士後研究員 @洛桑大學神經發育疾病實驗室
2023 ~ 2023
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Data Science
Data Analysis
Machine Learning
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
洛桑聯邦理工學院(EPFL)
神經科學
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 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 ~ 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、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
Within one month
使人員正確使用機器及降低故障率。 生產設備數據分析,製程問題進行分析,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
Python
Qt
Git
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
工業工程與管理學系所
Avatar of 王文祥.
Avatar of 王文祥.
經理 @鴻博資訊有限公司
2015 ~ Present
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Within one month
Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful mathematical functions and array operations, capable of handling multidimensional arrays and matrix operations. In data processing and analysis, Numpy is an indispensable tool for efficiently handling large amounts of
Python
AOI
MES
Employed
Ready to interview
Full-time / Remote Only
10-15 years
崑工科技大學
電子工程
Avatar of 李慕全(MuChuan Li).
Avatar of 李慕全(MuChuan Li).
Past
Service Provider @Taron Solutions Limited
2023 ~ 2023
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Within one month
模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型,以各式台灣景氣指標當作輸入,輸出未來經濟景氣趨勢階段。 技術:Pytorch、Pandas、Numpy、 Sklearn 論文發表 • Chen, X. Z., Li, M. C. , & Chen, Y. L, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (ppIEEE. • Li, M
Machine Learning
Computer Vision
Pytorch/Tensorflow
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北科技大學
資訊工程
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Avatar of the user.
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
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 廖廷浩.
Avatar of 廖廷浩.
Software Engineer @Amazon Web Services (AWS)
2023 ~ Present
資深前端工程師、資深後端工程師、全端工程師
Within one month
建置 6. 資料庫設計 建立後台web系統,以及APP可以模擬線上測驗。 個人開發 主題 技術 說明 Python - 量化交易 1. Tkinter 2. stockstats 3. numpy 4. ta-lib 串接元大API,即時監控數據 Multichart 1.程市策略開發並回測交易 2.使用RSI、線性回歸、MTM、ATR等技術指標 從中瞭解
Excel
C#
flutter
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
Tamkang University
資訊工程學系
Avatar of the user.
Avatar of the user.
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
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 VICTOR TSAI.
Avatar of VICTOR TSAI.
Past
經營管理人員 @優亞數位科技股份有限公司
2020 ~ 2021
軟體開發經理
Within one month
式語言: Python、NodeJS、C++ 程式管理: Git、GitLab 資料庫: MySQL、MongoDB、ElasticSearch、RabbitMQ、Redis 容器化技術: Docker、K8S 雲端系統: GCP 前端框架: ReactJS、Vue、Wordpress 深度學習套件: Pytorch、 OpenCV、Pandas、Numpy 工作經歷 十二月八月 2021 營運管理者 優亞數位科技股份有限公司 1. Chatbot CRM系統規劃設計與程式開發 2. 業務開發 3
Nodejs
vue.js
MongoDB
Unemployed
Ready to interview
Full-time / Interested in working remotely
10-15 years
國立中央大學 National Central University
資訊工程學系
Avatar of 吳俊瑩.
Avatar of 吳俊瑩.
Past
Industrial Engineer @鴻海精密工業股份有限公司
2019 ~ 2023
Data Analyst 數據分析師 / Data Scientist 資料科學家
Within one month
思緒縝密、規劃能力強,領導團隊朝目標推進 ·積極主動、學習能力佳,持續吸收新知識 [email protected] 技能 Skills • Python • R • Power BI • MySQL • SAP • SAS • Pandas • Numpy • Matplotlib • Scikit-learn • Seaborn • TOEIC 705 工作經歷 Work Experience 鴻海 Foxconn Industrial Internet, IE工程師/AI專案分析師 , Feb 2019 ~ Jun工業4.0、 數位轉型專案推導 (70%): 協助工廠
python
R
SAP
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺北大學 National Taipei University
經濟學

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Experienced AI Researcher Specializing in Signal Analysis
Logo of NeuroBonic Inc..
NeuroBonic Inc.
2022 ~ 2023
Taiwan, 台灣
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Scientist, Python Developer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Python
PyTorch
Machine Learning
Deep Learning
Biosignal processing
Signal Processing
Languages
English
Fluent
Chinese
Native or Bilingual
Job search preferences
Positions
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
Job types
Full-time
Locations
新加坡, 台灣新竹市, 台灣台北, 台灣台中
Remote
Interested in working remotely
Freelance
No
Educations
School
National Yang Ming Chiao Tung University
Major
Computer Science
Print

Chun-Ti (Peter) Chou

AI (DL/ML) Researcher & Engineer / Signal Processing



https://www.linkedin.com/in/chun-ti-chou-49533074/

  [email protected]    (+886) 925-140-314  Taipei/Hsinchu, Taiwan

Working Experience and Education

Senior AI Research/Engineer

NeuroBonic Inc. • March 2022 - Present

  • As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. 
  • The team joined AppWorks AW#25 (July 2022 - Dec. 2022), a startup acceleration program.
  • SkillsDigital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management

Master's Degree, Computer Science and Engineering Education

National Yang-Ming Chiao Tung University (NYCU) • July 2021 - September 2023

  • Advisor: Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.)
  • ThesisSelf-supervised pulse-aware and interpretable disentangled ECG representation learning.
    • Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods.
    • The proposed framework offers a clinically interpretable representation, a crucial aspect in clinical applications.
    • I proactively organized a regular research study group with other lab members to progress our research.
  • Participating in research projects: a comprehensive description is in "Project Experiences".
  • SkillsDatabase buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), Machine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++ 

Biosignal Algorithm Engineer 

Rooti Labs Ltd.  •  August 2016 - July 2020

  • Supervisor: Michael Li 黎克邁 (CEO, Rooti Labs Ltd.)
  • The primary developer of the processing and interpretation algorithm for long-term ECG recordings. 
    • The developed algorithm significantly enhanced the arrhythmia detection accuracy by 60%
    • This advancement reduced interpretation time, cutting it from hours to just under 20 minutes.
  • Leadership and project management: Experiences in leading the project of the application process for medical device certifications, including CE and TFDA. 
  • English speaking: Participating in two overseas visits and medical congresses, offering technical support and explanation.
  • SkillsDigital signal processing, Python, Machine learning, Deep learning (Tensorflow).

Bachelor's Degree, Biomedical Engineering Education

National Yang-Ming University (NYMU)  •  July 2011 - July 2015

  • Advisor: Dr. Chun-Min Lo 羅俊民 (Associate professor, BME, NYMU.)
  • Graduation Research ProjectAnalysis of Impedance Fluctuation Obtained by ECIS using  Wavelet Transformation.


Project Experiences

Arrhythmia Sustainability Prediction with Feature Engineering and ML Algorithm

Division of Cardiology, National Yang-Ming Chiao Tung University Hospital • June 2022 - July 2023

  • Status: Paper in progress.
  • Role: Data engineer, ML algorithm engineer
  • Contributions: Improved the efficiency of the feature extraction process, Generating reports, and Conducting field validation.
    • Implemented a feature extraction process for variable-length time series data, which includes signal pre-processing, morphology recognition, and temporal-spectral analysis.
    • Conducted an automatic model comparison and selection pipeline for multiple single-model and ensemble methods.
    • The performance was improved by 14% after the model selection and fine-tuning process.

A Multimodal Framework for Left Ventricular Mass Estimation from ECG Signals

Division of Cardiology, National Taiwan University Hospital • December 2021 - June 2023

  • Status: Ready to submit. 
  • Role: Researcher, Data engineer, DL algorithm engineer
  • ContributionsBuilding database, Paper survey, Methodology proposal, Experiment conduction, and Paper writing.
    • Built an SQL database from XML files that include essential information, demographic data, and ECG signal recordings.
    • The proposed sex-specific method improved the performance by 25% in terms of mean absolute error (MAE).

Arrhythmia Prediction in Long-period ECG Recordings. 

Division of Cardiology, Taipei Veterans General Hospital • October 2021 - Present

  • Status: Research in progress.
  • Role: Researcher, Data engineer, DL algorithm engineer
  • Contributions: Building database (SQL), paper survey, methodology proposal and implementation, experiment conduction.
    • Built a database for long-period ECG signals that were recorded under the sampling rate of 125 Hz.
    • Designed and implemented a sampling algorithm for continuous long-period signals to fit the requirements of this research.

Professional Skills

  • Proficient in multiple programming languages and script languages, such as Python, C/C++, and SQL.
  • Proficient in data processing libraries and visualization tools, such as NumPy, SciPy, Pandas, Matplotlib,  Seaborn, and WandB
  • Proficient in machine learning and deep learning frameworks, such as Scikit-Learn, Pytorch, Pytorch-Lightning, and Tensorflow.
  • Experiences in collaborations with different institutes, as described above.
  • Good communication skills, strong motivation, ability to advance a project productively, and ability to work independently.

Irrelevant Experiences

  • I used to play the role of vocal in a band during college and sometimes played guitar.
  • A huge fan of Spider-Man.
Resume
Profile

Chun-Ti (Peter) Chou

AI (DL/ML) Researcher & Engineer / Signal Processing



https://www.linkedin.com/in/chun-ti-chou-49533074/

  [email protected]    (+886) 925-140-314  Taipei/Hsinchu, Taiwan

Working Experience and Education

Senior AI Research/Engineer

NeuroBonic Inc. • March 2022 - Present

  • As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. 
  • The team joined AppWorks AW#25 (July 2022 - Dec. 2022), a startup acceleration program.
  • SkillsDigital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management

Master's Degree, Computer Science and Engineering Education

National Yang-Ming Chiao Tung University (NYCU) • July 2021 - September 2023

  • Advisor: Dr. Vincent S. Tseng 曾新穆 (Chair professor, CSIE, NYCU.)
  • ThesisSelf-supervised pulse-aware and interpretable disentangled ECG representation learning.
    • Proposed a self-supervised learning framework with two-fold training efficiency compared to the existing methods.
    • The proposed framework offers a clinically interpretable representation, a crucial aspect in clinical applications.
    • I proactively organized a regular research study group with other lab members to progress our research.
  • Participating in research projects: a comprehensive description is in "Project Experiences".
  • SkillsDatabase buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), Machine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++ 

Biosignal Algorithm Engineer 

Rooti Labs Ltd.  •  August 2016 - July 2020

  • Supervisor: Michael Li 黎克邁 (CEO, Rooti Labs Ltd.)
  • The primary developer of the processing and interpretation algorithm for long-term ECG recordings. 
    • The developed algorithm significantly enhanced the arrhythmia detection accuracy by 60%
    • This advancement reduced interpretation time, cutting it from hours to just under 20 minutes.
  • Leadership and project management: Experiences in leading the project of the application process for medical device certifications, including CE and TFDA. 
  • English speaking: Participating in two overseas visits and medical congresses, offering technical support and explanation.
  • SkillsDigital signal processing, Python, Machine learning, Deep learning (Tensorflow).

Bachelor's Degree, Biomedical Engineering Education

National Yang-Ming University (NYMU)  •  July 2011 - July 2015

  • Advisor: Dr. Chun-Min Lo 羅俊民 (Associate professor, BME, NYMU.)
  • Graduation Research ProjectAnalysis of Impedance Fluctuation Obtained by ECIS using  Wavelet Transformation.


Project Experiences

Arrhythmia Sustainability Prediction with Feature Engineering and ML Algorithm

Division of Cardiology, National Yang-Ming Chiao Tung University Hospital • June 2022 - July 2023

  • Status: Paper in progress.
  • Role: Data engineer, ML algorithm engineer
  • Contributions: Improved the efficiency of the feature extraction process, Generating reports, and Conducting field validation.
    • Implemented a feature extraction process for variable-length time series data, which includes signal pre-processing, morphology recognition, and temporal-spectral analysis.
    • Conducted an automatic model comparison and selection pipeline for multiple single-model and ensemble methods.
    • The performance was improved by 14% after the model selection and fine-tuning process.

A Multimodal Framework for Left Ventricular Mass Estimation from ECG Signals

Division of Cardiology, National Taiwan University Hospital • December 2021 - June 2023

  • Status: Ready to submit. 
  • Role: Researcher, Data engineer, DL algorithm engineer
  • ContributionsBuilding database, Paper survey, Methodology proposal, Experiment conduction, and Paper writing.
    • Built an SQL database from XML files that include essential information, demographic data, and ECG signal recordings.
    • The proposed sex-specific method improved the performance by 25% in terms of mean absolute error (MAE).

Arrhythmia Prediction in Long-period ECG Recordings. 

Division of Cardiology, Taipei Veterans General Hospital • October 2021 - Present

  • Status: Research in progress.
  • Role: Researcher, Data engineer, DL algorithm engineer
  • Contributions: Building database (SQL), paper survey, methodology proposal and implementation, experiment conduction.
    • Built a database for long-period ECG signals that were recorded under the sampling rate of 125 Hz.
    • Designed and implemented a sampling algorithm for continuous long-period signals to fit the requirements of this research.

Professional Skills

  • Proficient in multiple programming languages and script languages, such as Python, C/C++, and SQL.
  • Proficient in data processing libraries and visualization tools, such as NumPy, SciPy, Pandas, Matplotlib,  Seaborn, and WandB
  • Proficient in machine learning and deep learning frameworks, such as Scikit-Learn, Pytorch, Pytorch-Lightning, and Tensorflow.
  • Experiences in collaborations with different institutes, as described above.
  • Good communication skills, strong motivation, ability to advance a project productively, and ability to work independently.

Irrelevant Experiences

  • I used to play the role of vocal in a band during college and sometimes played guitar.
  • A huge fan of Spider-Man.