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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taichung City, Taiwan
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Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
資訊科學系
老闆 @歐趴飲料店2012 ~ 2018
・
AIOT開發工程師
Within one month
難排解 APP WEB UX 規劃 第三方元件整合 Google Play / Apple Store 上架 兼任講師 • 東海大學 一月Present 主要教學C、C++、JAVA、PYTHON、物聯網、資料科學、機器學習、深度學習等等。 科技部計畫研究助理 • 東海大學 一月十二月 2019 協助撰寫科技部計畫 與林口長庚醫院羅慧夫團隊
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
Data engineer @H2 Inc.2021 ~ Present
・
AI engineer, ML engineer, data scientist
Within three months
相對應的數據分析 - 針對不同 project 進行 exploratory data analysis 分析 AI 工程師 • 林口長庚醫院-AI core lab 六月三月 2021 【建置 AI 模型與應用】 - 利用 AI deep learning CNN models，解決醫療領域的問題 - 利用機器學習方法輔助解決醫療領域問題 - 搭配 Linux bash shell 幫助 AI 模型的運行 1. Corneal ulcer - 建立 two
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
軟體工程師 @大同世界科技2017 ~ Present
・
DA, SA
Within one month
醫院 臨床試驗中心 • 研究助理 • SepJun 2017 中央研究院 資訊科學研究所 • 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
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
工程師 @Micron Technology 台灣美光2018 ~ Present
・
管理職或資深工程師
Within one month
API(.NET, Mongo), - Background Job Servers( .NET, console App, MSSQL), - Manufacturing API( Spring Boot, PostgreSQL) - and Azure Services (Service Bus, AppInsight ...) Software Engineer Pouchen 寶成國際集團 JulOct 2018 Taichung , Taiwan In these two years with IoT team, my major job is make machine data visualization webs in PHP、machine learning training results presentation webs、on-site monitoring board. In the other hand, I have concepts of OPC UA, ETL, SCADA real-time data presentation, massively parallel processing and data warehouse. Educations Feng chia University Information Computer Science Bachelor degree
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
逢甲
・
資訊工程
軟體工程師 @Wistron NeWeb Corporation 啟碁科技股份有限公司2023 ~ 2023
・
軟體工程師
Within two months
張暐翔 Taichung City, [email protected] As a dedicated Computer Science student with a specialization in Machine Learning and Network Security, my core competencies lie in the intricacies of operating systems, the nuances of cybersecurity, advanced program design, and the application of machine learning algorithms. Fueled by an insatiable drive for innovation and an unwavering commitment to excellence, I seek to engage with a technologically advanced environment that not only challenges my capabilities but also offers opportunities for growth and contribution at the forefront of the technology sector. 工作經歷 Master's
Studying
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中正大學(National Chung Cheng University)
・
Computer Science and Information Engineering
Past
韌體工程師 @銓鼎科技2017 ~ 2018
・
全端工程師 補習班講師
Within one month
練習對程式語言的熟悉度。在接觸演算法之後，開始對演算法有濃厚興趣，從自己實作測程法到追跡演算法，目前正在研讀機器學習相關知識，希望將這塊導入像是自動駕駛或是網頁跟APP應用。 工作經歷 , Mar 2021 ~ Mar 2024 疫情期間除了唸英文之外也有
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立交通大學
・
顯示工程研究所
Active
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
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 : D igital signal processing, Python, Machine learning, Deep learning ( Tensorflow). Bachelor's Degree, Biomedical Engineering Education National Yang-Ming University (NYMU) • JulyJuly 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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
・
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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.