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Avatar of 葉家登.
Avatar of 葉家登.
Past
高級工程師二 @奇偶科技股份有限公司
2016 ~ 2024
軟體工程師
Within one month
葉家登 軟體工程師,C/C++軟體開發經驗7.5年,雙棲Windows/Linux平台,曾任職於安全監控業從事影像監控管理系統開發。 Taipei, Taiwan 工作經歷 高級工程師二 • 奇偶科技股份有限公司 八月二月 2024 工作內容: 以公司主力產品-影像監控管理系統(VMS) 為核
C++
Golang
Python
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
逢甲大學 Feng Chia University
資訊工程學系研究所
Avatar of Chenyang Hsu.
Avatar of Chenyang Hsu.
Past
Senior Product Application Engineer @Mi Equipment
2021 ~ 2023
Senior Engineer
Within one month
and business issues◆ Increased productivity: Coordinated the new tool expansion of poly1 etch, increased the production capacity of the main product by 25-30% within a year. ◆ New product development: Cooperated with ST / PEI engineers on products in the experimental stage or converted into mass production. Including the CIS/HV/BCD products. ◆ Trained newcomers and served as SPC coordinator. Education Chung Yuan Christian University Master of Physics Job skill C/C++ Embedded system Matlab DOE FMEA Risk Analysis SPC Word, Excel, Powerpoint Language English — Intermediate Mandarin — Native language
DOE
FMEA Risk Analysis
MES
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Chung Yuan Christian University
Physic
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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
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Avatar of the user.
高級工程師 @仁寶電腦工業股份有限公司
2018 ~ Present
工程師
Within three months
C++
Python
Linux
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
中原大學 Chung Yuan Christian University
資訊工程
Avatar of 施冠宇.
Avatar of 施冠宇.
Data engineer @H2 Inc.
2021 ~ Present
AI engineer, ML engineer, data scientist
Within three months
on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper 3. Pathology案件 -建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient 學歷 清華大學 動力機械工程學系技能 Software AWS Airflow Dagster Docker Git Flask Pytorch Tensorflow DVC Languages Python SQL Bash-Shell script C/C++ Javascript Technical Skill Data Modeling Custom ETL Development Data Analysis System Resource Analysis AWS IaaS
Airflow
Docker
AWS
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清華大學
動力機械工程學系
Avatar of Cheng Yi Peng.
Avatar of Cheng Yi Peng.
Devops Engineer @Zoul Studio
2022 ~ Present
Devops / UE Engineer
Within one month
Marvin Peng 2 years experience of Devops Engineer 3 years experience of Unreal Engine Developer MyPage Skills DevOps AWS Linux Jenkins Docker Git Perforce Terraform Kubernetes Others Unreal Engine 4 / 5 Nginx flask ngrok IPv4/v6 networking routers, firewalls Languages Python Unix Shell (bash) C/C++ Experience Zoul Studio / Devops NovNow Devops、Game streaming、Multiplayer Games、VR Deploy games on server for pixel streaming services, enabling end-users to access the gaming service with browser. Automate for EC2 instances, using python with lambda function and Shell script to control and reduce usage costs
aws
Docker
Linux
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
資訊工程
Avatar of the user.
Avatar of the user.
GNSS Algorithm Engineer @Airoha Technology Corp.
2018 ~ Present
資深軟/韌體工程師
Within one month
C
GNSS
FreeRTOS
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
Aeronautical and Astronautical Engineering
Avatar of 李之紘.
Avatar of 李之紘.
Software Engineer @方見科技
2023 ~ Present
Firmware Engineer, Firmware Developer, Embedded Software Engineer
Within one month
端工程師,為組織帶來價值。我的快速學習能力和紮實的開發技巧使我深信能成為您的最佳選擇。 New Taipei, Banqiao District, New Taipei City, Taiwan 技能 C/C++ C# Javascript Node.js Solidity Docker GitHub Action 專案 Omamori ( GitHub ) 三月六月 2023 Omamori 是在 Z 學院區塊鏈開發者課程第二期期間創建的畢業專案
C
C++
C#
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
中原大學
電機工程
Avatar of chen li Huang.
Avatar of chen li Huang.
iOS Developer @Sequent Lab, Ltd.
2022 ~ Present
Senior iOS Developer
Within one month
Taipei, Taiwan 1.iViewer APP(Android/iOS): Target: The App makes users watch their camera streaming on the App to monitor it, and do some operations on camera settings. We also provide the detection for some events and notify the user immediately. Skill & Language: MVC / RESTFul API/ Swift / Object-c / C++ /Jenkins / Java/ Mixpanel 2.VivoCloud (Android/iOS) : Target: The App is based on iViewer and provides an account system for business users. Skill & Language: MVC / RESTFul API/ Swif...
IOS App Development
Mobile App Development
SwiftUI
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立清華大學
Computer Science
Avatar of 周君諦.
Offline
Avatar of 周君諦.
Offline
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
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". Skills : Database buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), M achine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++ Biosignal Algorithm Engineer Rooti Labs Ltd. • AugustJuly 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
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 one month
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.