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Data Science Competition Participant @Self-Employed
2020 ~ Present
資料科學
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名 (團隊成員, 獲得1,500美元Aidea:中科智慧製造-光電製程品質預測, 第一名 (獨立參賽, 獲得1,500美元) - Kaggle平台的程式碼(notebooks)Master (180th/資料科學家 • 探識空間科技有限公司 八月一月 2020 | Taipei, Taiwan 與台積電合作研發: 應用人工智慧於建築設備群的運轉異常偵測及
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 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
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 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
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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
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吳俊瑩 Dani el 資料科學家/ AI專案管理/ IE工程師 ·4年網通智能製造經驗,負責工業4.0數位轉型專案 ·統計背景、對數字高度敏銳,能夠有效運用數據 ·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 danielwu0221@protonmail
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
Avatar of 陳銘哲.
Avatar of 陳銘哲.
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
和Python語言,並持續不斷地學習新技術,參與多個資料科學相關的專案。 目前,我非常榮幸能夠加入MIT IDSS 的 MicroMasters Program in Statistics and Data Science (SDS)資料科學計劃,這讓我有機會與來自世界各地的專業人士一同學習資料科學領域的最新技術和專案。 工作經歷 資料科學
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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Avatar of the user.
專案經理 @花蓮慈濟醫院
2022 ~ Present
PM/產品經理/專案管理
Within one month
PHP
JavaScript
教學
Employed
Open to opportunities
Part-time / Interested in working remotely
6-10 years
國立東華大學
資訊工程
Avatar of 周君諦.
Active
Avatar of 周君諦.
Active
Senior AI Research/Engineer (part-time) @NeuroBonic Inc.
2022 ~ 2023
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
Chun-Ti (Peter) Chou AI (DL/ML) Researcher & Engineer / Signal Processing https://www.linkedin.com/in/chun-ti-chou/ [email protected]/Hsinchu, Taiwan Working Experience and Education Senior AI Research/Engineer NeuroBonic Inc. • MarchPresent As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. The team joined AppWorks AW#25 (JulyDec, a startup acceleration program. Skills : Digital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management Master's Degree, Computer Science and
Python
PyTorch
Machine Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
Computer Science
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Avatar of the user.
資料科學 @格萊鉑數位有限公司
2018 ~ Present
資料分析師
Within one month
Python
Machine Learning
R
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
淡江大學
資訊管理
Avatar of the user.
Avatar of the user.
數據分析師 @忠訓國際
2022 ~ Present
數據分析師、資料科學
Within one month
Python
MySQL
MongoDB
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
逢甲大學 Feng Chia University
財務金融

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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.