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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taichung City, Taiwan
Unemployed
・
Ready to interview
Intern / Interested in working remotely
4-6 years
國立雲林科技大學
・
資訊管理系Past
Data Engineer @Rooit Inc. (XO App)2023 ~ 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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
中國醫藥大學(China Medical University)
・
臨床醫學研究所
主任工程師 @創奕能源科技股份有限公司2023 ~ Present
・
軟體工程師
Within one month
網IoT MQTT ：整合 JavaScript 與 Python，實現 MQTT協議連線，建立即時通訊機制，應用於多種情境。 5.JavaScript 貪食蛇遊戲：開發 JavaScript 貪食蛇遊戲，藉此練習演算法和語法，展現對 JavaScript 的深入理解和實際應用。 前端技術： 1.使用 HTML、CSS 開發具有響應式設計（RWD）的前端網頁，確保在不同
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
大華科技大學
・
電子工程系
老闆 @歐趴飲料店2012 ~ 2018
・
AIOT開發工程師
Within one month
與產品、三軸整體系統與產品、九軸整體系統與產品，多種人工智慧系列產品。 管理人數 : 4, Android:1人, IOS:1人, Backend:1人, 設備: 1人 AI演算法撰寫與銜接 Android / IOS 藍牙底層SDK銜接 Android / IOS 專案框架及工程師疑難排解 APP WEB UX 規劃 第三方元件整合 Google Play / Apple Store
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Tunghai University
・
資訊資料分析暨自動化工程師 @泰詠電子股份有限公司(6266)2021 ~ Present
・
資料分析師 軟體設計工程師 演算法開發工程師 深度學習研發工程師 AI工程師
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中山大學 National Sun Yat-Sen University
・
應用數學系研究所統計組
馬達設計工程師 @鑫元鴻實業股份有限公司2022 ~ Present
・
工程師
Within one month
也有接觸自行車馬達應用領域，優化設計外轉子輪鼓馬達並參與測試及電輔車調整。 於碩士班學習Python應用於AI上，以及各演算法於最佳化上使用相關技能，並分享Ansys maxwell軟體使用經驗給同學。 大學所學為RF相關知識，以及C、組合語言等，也接觸了
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
逢甲大學(Feng Chia University)
・
資訊電機工程碩士學位學程
軟體工程師 @大同世界科技2017 ~ Present
・
DA, SA
Within one month
所 • 研究助理 • DecFeb 2015 Educations 台灣人工智慧學校 技術領袖班機械學習(Machine Learning) 2. Python 國立暨南大學 資訊管理研究所次經驗演算法(Heuristic Algorithm) 2. 基因演算法(Genetic Algorithm) Languages 中文 — 母語 英文 — 流利 西班牙文 — 中等 Lear Cheng ★ A System Analyst, System Designer, and Software Developer ＠ Tst i . ⠀⠀ ⠀ Focus on Translating Conceptual Ideas into Practically Solutions.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
iSpan資展國際股份有限公司
・
軟體需求與系統分析實務班
Offline
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
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 60% . This advancement reduced interpretation
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
・
Computer Science
Head of DevOps Team @Jetthai Software2023 ~ Present
・
DevOps Engineer, Site Reliability Engineer
Within six months
3+ systems to verify qualification * Using Vue2 to show which requirements the student didn't meet #javascript #chrome-extension #vue2 Jun 2016 Drawbot A machine can draw pictures with a webcam and a pen. Leading a team with 4 members to develop the structure and algorithm of the machine. * Designing structures and algorithms * UI implemented with HTML5 canvas and the webcam * Image algorithm uses the HSV color model to classify depth degrees * Controlling machine with open source repo GRBL DEMO 🐈 https://youtu.be/Akg-6EnSr0Y/ #javas.
Employed
Full-time / Interested in working remotely
4-6 years
National Changhua University of Education
・
Master of Computer Science and Information Engineering
Software Engineer @昇陽國際半導體2022 ~ Present
・
自動化軟體工程師、影像處理工程師、AI處理工程師、演算法工程師
Within six months
制、機器視覺、對位演算、雷射光學應用; 3.SECS/GEM的系統規劃、開發、維護 4.RS232、Socket、TCP/IP通訊元件測試開發 5.影像處理演算法開發(Halcon) 八月一月 2017 學生 臺北市立大學 research computer vision 學歷Taipei Municipal University of Education 資訊科學系嶺東科技大學 資訊科技系 專案 Project Name Lorem
Employed
Full-time / Interested in working remotely
4-6 years
Taipei Municipal University of Education
・
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Definition of Reputation Credits
Technical Skills
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Within one month
Experienced AI Researcher Specializing in Signal Analysis
NeuroBonic Inc.
・
2022 ~ 2023
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
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
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.
- Skills: Digital 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.)
- Thesis: Self-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".
- Skills: Database 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.
- Skills: Digital 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 Project: Analysis 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
- Contributions: Building 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.
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.
- Skills: Digital 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.)
- Thesis: Self-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".
- Skills: Database 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.
- Skills: Digital 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 Project: Analysis 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
- Contributions: Building 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.