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Taichung City, Taiwan
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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
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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Within six months
a strong team of four, and eventually doubled the performance. Collaboration and Motivation • Insurance Agent Assisted a shy team member in signing three insurance contracts worth 100,000 each before midnight. He believed that breaking through his limits was more rewarding than the 100,000 performance achieved. Organized a rock climbing event for the Taichung branch (multiple independent teams). Fifty percent of the teams achieved additional new performance within a week after the event. Work Experience Management Trainee • Ming Jin Wine distributor SepJun 2023 Store Sales, Recruitment Training, Marketing Ideation, Business Development, Event Coordination.
ClickFunnels
convertkit
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Full-time / Interested in working remotely
10-15 years
育達科大
應用外語系
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Past
Video Editor @美商勞倫斯科技股份有限公司台灣分公司
2021 ~ 2024
Video Editor
Within one month
Microsoft Office
Adobe Illustrator
Adobe Photoshop
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立勤益科技大學
文化創意事業系
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Past
Developer of Tooling @GuangZhou Evervan Footwear in Saigon Adidas
2017 ~ Present
Tooling engineer
More than one year
Dedicated
Excellent Communication Skills
Ability To Handle
Unemployed
Full-time
4-6 years
National Taiwan University of Science and Technology
BA in Industrial Engineering
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snowboard instructor
More than one year
and ripeness. • Checked fruits of different sizes and types and removed rotting and over-ripened fruits. • Measured and packed high quality fruits into boxes and loaded those boxes in trucks. Mandatory Military ServiceTaipei, Taiwa n Vice-monitor MAY 2014-MAY 2015 • Leading soldiers includes the authority to organize, direct and control it so that they accomplish assigned missions. • Training soldiers confidence in their ability to perform well under the difficult and demanding conditions of battle. Doob2 RestaurantKaohsiung , Taiwan Cook FEB 2012-APR 2014 • 2+ years experience of Chinese and Western cuisine • Worked all station
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Excel
Photoshop
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Experienced AI Researcher Specializing in Signal Analysis
Logo of NeuroBonic Inc..
NeuroBonic Inc.
2022 ~ 2023
Taiwan, 台灣
Professional Background
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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
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I've had experience in managing 1-5 people
Skills
Python
PyTorch
Machine Learning
Deep Learning
Biosignal processing
Signal Processing
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English
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Chinese
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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
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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.