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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taichung City, Taiwan
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
系統開發經理 @優利士實業2013 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
應用: mysql、 DynamoDB 、 ElastiCache 、RDS、 Redis、elasticsearch 金流串接:直串銀行、綠界、藍新、悠遊卡、悠遊付、tappay、街口支付、全支付 電子發票:關貿、綠界、鯨耀 簡訊API:三竹、sms 自動傳真介接:中華電信 canbus資料讀取、應用 IOT板子應用:Arduino、esp32 常用語言:jvascript、php、dart、python、C++、shell 語言 中文 - 精通 台語 -精通 英文 - 普通
Employed
・
Ready to interview
Part-time / Interested in working remotely
10-15 years
私立僑泰高級中學
・
微電修護科
老闆 @歐趴飲料店2012 ~ 2018
・
AIOT開發工程師
Within one month
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 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
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Tunghai University
・
資訊
Past
經理 @芫鉅科技2022 ~ 2023
・
專案開發主管
Within three months
統上。除此之外，亦負責開發網路閘道器(Router)自動化驗證軟體系統，以及WiFi RF性能估測軟體系統，此系統除台灣分公司使用之外，亦使用於以色列分公司。 學歷 逢甲大學 Feng Chia University 自動控制,程式設計技能 Communication C C++ C# CSS JavaScript HTML/CSS 語言 Chinese — 進階 English — 中階
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
逢甲大學 Feng Chia University
・
自動控制, 程式設計Past
Asia Lead Software Engineer @新加坡商羅福斯有限公司台灣分公司2023 ~ 2024
・
Software Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chung Hsing University
・
Computer Science and InformationEmployed
・
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
朝陽科技大學
・
資訊工程系
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
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
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
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
學 楠梓校區） 電訊工程系 •經歷： 系學會成員 魔幻藝術社社員 學習歷程： RF基礎知識學習 天線設計課程(實作) 基礎語言課程(C、C++、組合語言等) 藍芽模組應用 技能 軟體應用 Ansys Maxwell Ansys Rmxpert MotorCad AutoCAD 2D Matlab 基本文書軟體 技能經歷 IE3&IE4 馬達磁路設計 直流無刷
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
Backend Engineer @群馥科技股份有限公司(Fortuna Intelligence Company,LTD)2023 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
問題並具有良好的團隊合作能力。 SKILL SET Backend frameworks: Spring Boot(Java) and Nest.js(Node.js) Frontend Frameworks: React, Vue Containerization and deployment: Docker, Kubernetes Automation: GitLab CI/CD, Shell script Programing languages: JavaScript, Java, Python, Go, C++ Databases: Mongo, Postgres, Redis Message Brokers: Kafka, NATS, RabbitMQ, MQTT Others: Nginx, RESTful, Graphql, Git SUMMARY 具備豐富的全端開發經驗，擅長於從零到一的專案規劃與開發，善於優化系
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立聯合大學 National United 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.