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4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
Computer Vision Engineer @Academia Sinica2015 ~ Present
・
Computer Vision Engineer
Within one month
陳昱希 Computer Vision Engineer Yu-Hsi Chen has rich experience in developing computer vision and machine learning algorithms. In his recent work at Academia Sinica, he has focused on using machine learning to solve traditional computer vision and image / video processing problems. His developed NeighborTrack is a state-of-the-art single object tracking system in the field. During his school days, he used verilog on FPGA to implement the 3A system of the camera. website: Yu-hsi Chen (franktpmvu.github.io) Taipei City, Taiwan Yu-hsi Chen (franktpmvu.github
Open to opportunities
Full-time / Interested in working remotely
6-10 years
LUNGHWA university
・
Master of Science
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
Within one month
Full-time / Interested in working remotely
4-6 years
Data Scientist | Associate Researcher @China Engineering Consultants, Inc.2020 ~ Present
・
資料分析師
More than one year
Employed
Full-time / Interested in working remotely
6-10 years
國立東華大學(National Dong Hwa University)
・
應用數學研究所
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司2022 ~ Present
・
AI Engineer
Within one month
retraining models/in production. Working in RPA( Robotic Process Automation) team, Web Scraping(crawler) and automating routine tasks to achieve labor cost reduction. JuneMay 2020 Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
・
Business Administration
AI Engineer @TSMC 台積電2022 ~ 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
鄭凱元 (Kai-Yuan Cheng) Machine Learning Engineer focusing on super resolution, object detection, and face recognition. Strongly interested in deep learning and computer vision. Graduated from National Taiwan University with Master of Mechanical Engineering. AI/ML Engineer Date of Birth: 1991/8/25 Mobile:E-mail: [email protected] LinkedIn: www.linkedin.com/in/mPROFESSIONAL EXPERIENCE Data Scientist (Computer Vision), TSMC, 2022/4 - Present Super resolution for wafer patch enhancement Computer vision algorithm development. Machine Learning Engineer (Computer Vision), VIVOTEK, 2019//4
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣大學
・
機械工程研究所
Machine Learning Engineer @Institute for Information Industry2018 ~ 2019
・
AI engineer
More than one year
Lin, Shu-Wei Strong background in physics and statistics. I have 4+ years work experience of implementing AI algorithms for computer vision and time series models. Taipei City, Taiwan Work Experience AI Engineer • Inventec Company Inc OctNovUse 2D object detection from images or the 3D point cloud data from mmWave radar to implement the blind spot monitoring (BSM) algorithms on 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
Full-time / Not interested in working remotely
4-6 years
National Taiwan University
・
Master of Science in PhysicsProduct Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學 National Cheng Kung University
・
Mechanical 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
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), 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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
・
Computer Science
AI 研發主任(function leader) @緯創資通股份有限公司2020 ~ Present
・
AI 演算法相關工作
Within two months
分析在Azure雲平台上進行數據分析。 對話機器人: 構建一個基於GPT服務的機器人，能夠進行自然語言對話。 LLaMA 1/2部署: 在Azure機器學習平台上部署LLaMA 1/2模型。 WebUI部署: 在Azure應用服務上發布一個物體檢測Web應用。 報告生成: 利用Spark AI和Radis進行自然
Employed
Full-time / Not interested in working remotely
6-10 years
中原大學 Chung Yuan Christian University
・
化學工程/生醫材料工程
Expertise & Innovation Lead, Cloud @fifty-five2023 ~ Present
・
Cloud Solution Architect
Within one month
SEO for major platforms. - Large-Scale Website Project: Contributed to a high-value SaaS website launch, overseeing deployment and development. - Data Analysis & Systems : Developed GCP-centric data systems, boosting data integration and analysis. - Team Leadership & Innovation: Created a Vertex AI recommendation engine, advancing data team methodologies. EducationNational Chengchi University MS in Computer Science Thesis:Explainable Deep Learning-Based Recommendation Systems: Enhancing the Services of Public Sector Subsidy Online Platform Courses Taken: Big Data Analytics, Data mining, Reinforce Learning, Algorithm and BlockchainNational Cheng Kung University MS in Resource Engineering Thesis: Text-mining and machi...
Employed
Full-time / Interested in working remotely
4-6 years
National Chengchi 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.