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4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
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| haoru.sung.ai@gmail.com | 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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
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
陳銘哲 資料科學暨SEO工程師 Taipei City, Taiwan 我是陳銘哲，擅長溝通、熱愛學習，並且勇於嘗試新事物！ 自從畢業後，我便投身於行銷領域進行深造。2021年，我開始自學大數據分析和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
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
Past
Product Manager @Kono 美商知識能股份有限公司2022 ~ 2022
・
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
Within two months
王俊元(Jeffrey Wang) 產品經理健身房 | 音樂科技網 | Music Tech Alliance | wangefcn@gmail.com 超過 5 年軟體產品開發經驗，主要為網站、App 和桌機端的 B2C 服務，有 0~1 產品開發和 AI 演算法的實務經驗，待過音樂串流、AI 演算法開發和 Wi-Fi 智慧照護公司。 工作經歷 產品經理 2023年11
Unemployed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
東吳大學
・
國際貿易
Employed
・
Not open to opportunities
Full-time / Remote Only
6-10 years
國立政治大學（National Chengchi University）
・
圖書資訊與檔案學研究所 碩士
Past
Business Consultant @IBM2007 ~ 2015
・
Within one month
技藝和實踐的技能，能夠為許多應用帶來更好的效果。 專業技能： 熟悉不同人工智慧模型，包括但不限於深度學習、強化學習、機器學習等。 深刻理解人工智慧模型的數學和運算基礎。 熟悉 企業互聯網的規劃。 熟悉 互聯網的網路和影音技術。 略通 計算
Unemployed
Full-time / Interested in working remotely
More than 15 years
交通大學
・
電子物理產品暨行銷發展處 專案經理 @台灣智慧雲端服務股份有限公司2022 ~ Present
・
專案經理、產品經理、系統分析師
Within one month
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
資策會_財團法人資訊工業策進會
・
智慧應用微軟C#工程師養成班
Machine Learning Engineer @Institute for Information Industry2018 ~ 2019
・
AI engineer
More than one year
embedded systems. Machine Learning Engineer • Institute for Information Industry FebSepDesigning and implementing the non-intrusive load monitoring (NILM) and behavior inference algorithms with tensorflow and keras for time series analysis. Programmer • Colatour Company Inc MayJanI participated in the low cost carrier (LCC) system development and exploited the web API at the back-end to conduct the flight reservation. 學歷National Taiwan University Master of Science in PhysicsNational Central University Bachelor of Science in Physics Skill C++ Python SQL Tensorflow/Keras Embedded Systems Cloud Services AI & Machine Learning Language Chinese — Native Language English — Fluent
Full-time / Not interested in working remotely
4-6 years
National Taiwan University
・
Master of Science in PhysicsSenior 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
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineering
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
Chun-Ti (Peter) Chou AI (DL/ML) Researcher & Engineer / Signal Processing https://www.linkedin.com/in/chun-ti-chou/ chunti.chou@gmail.comTaipei/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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
・
Computer Science
Senior Machine Learning Engineer @CoolSo2020 ~ Present
・
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
許碩文 / Shuo-Wen (Peter) Hsu Senior Machine Learning Engineer at CoolSo / Berkeley SkyDeck Batch15 Alumni - Machine learning expert with 5+ years' experience - Engaged in different fast-paced environments with various leadership roles including CTO - Former senior chip/system designer with 5+ years' experience - Energetic engineer pursuing adventures in AI/ML career Nangang District, Taipei City, Taiwan 115 Tel:EMail: swshukh@gmail.com Work Experience Senior Machine Learning Engineer • CoolSo Technology CoolSo is a startup team builds gesture recognition through machine learning technologies uses only commercial grade sensors could be found
Full-time / Interested in working remotely
4-6 years
University of California, Berkeley
・
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
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Adaptability
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Leadership
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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.