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4-6 years
6-10 years
10-15 years
More than 15 years
Past
Senior Firmware Engineer @Artesyn Embedded Technologies2019 ~ 2022
・
韌體工程師/軟體工程師/控制工程師/演算法工程師/
Within one month
Skill Programming C/C++ Python Bash SQL AI (PyTorch, TensorFlow, Keras) Tool RTOS Embedded System Git Docker/Docker Compose MCU Development ADC, DAC, GPIO, PWM, DMA I2C, SPI, UART, RS232/RS485 Modbus RTU Platform Windows, Linux, macOS STM32, Raspberry Pi, ESP32 Library Multiprocessing, Multithreading Numpy, Scipy, Pandas asyncio Matplotlib Instrument Oscilloscope Logic Analyzer 6 1/2 Digit Multimeter DC Electronic Load AC Source Data Acquisition System Work Experience Senior Firmware Engineer • Artesyn Embedded Technologies • Taipei JanJun 2022 Pioneered AI-based optimization auto-tuning system, containerizing it as Linux-based application, which slashed server power
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
日本電氣通信大學 The University of Electro-Communications (UEC)
・
Robotics Engineering
Data Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ Present
・
Computer Vision / Deep Learning
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Qom
・
Information Technology | Face Recognition
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/ [email protected]/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
Electrical/Software Engineer
More than one year
Internet of Things. University of Massachusetts-Amherst Electrical/Software Engineer Iselin,NJ [email protected] Skills UI/UX Interface Design Web Design Sketch Bot Development Software Languages Java C/C++ Python Javascript (Node.js, React.js) Verilog Data Science Numpy Scipy Pandas Matplotlib T ensor Flow Plotly SQL Computer Aid Engineering Schematic Design: AutoCAD,, PSpice/HSpice Simulation Tools: Matlab/Simulink,Cadence,Multisim PCB Design: Eagle, Altium Embedded System Design Hardware Programming: Altera QuartuModelsim,FPGA , MPLAB/JTAG Experience Experience 01, FebPresent Lorem ipsum dolor sit amet, consectetur adipiscing
Open to opportunities
Full-time / Interested in working remotely
4-6 years
University of Massachusetts
・
Electrical EngineeringUnemployed
Full-time / Interested in working remotely
6-10 years
中原大學 Chung Yuan Christian University
・
資訊工程學系
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ Present
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
Within one month
business positions : - Business Manager France for outdoor lighting (Philips), 50 M€, 33p - General Manager civil works (Vinci Energy), 75M€, 459p - Business Unit Manager (Veolia), 47 M€, 280p Strategic leadership roles without direct management : - General Manager Europe, MultiVendor Services (General Electric) - Sales consultant and bid manager (MBDA) EducationEngineering and Mathematics - École Polytechnique, PalaiseauGeneral Engineering - MINES ParisTech, Ecole des Mines de ParisMaster in Artificial Intelligence and Machine Learning - Université Paul Sabatier Toulouse IIIExecutive Master Cybersecurity - Télécom Paris Software Python , ML packages (Scikit, Scipy, TF, PyTorch) Git, GitHub VS Code, AWS, Docker Languages English (lived for 3 years in the US) French (native)
Employed
Full-time / Interested in working remotely
6-10 years
Télécom Paris
・
CybersecurityStudying
Intern / Not interested in working remotely
4-6 years
BISE LAHORE BOARD
・
Metric 
Data Engineer / Scientist @MediaTek Inc.2019 ~ 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
雅 pythonic 開發 3 年 SQL 及 SPL 開發經驗，力求優化查詢效能 2 年網頁後端開發經驗，貢獻 CDNJS 大型開源專案 (9.4K stars) Machine Learning Skills Sklearn, Numpy, Pandas, Scipy, seaborn, shap value, xgboost, random forest, linear regression, feature engineering, high dimension clustering (fit JD key word) Data Engineering & Analysis Skills Airflow, NiFi, Dataflow, BigQuery, Cloud Function, Plotly/Dash, Splunk Cloud Platform GCP: Cloud Function, Dataflow, Composer, BigQuery 學歷National Chiao Tung University Computer Science - Data Mining
Employed
Full-time / Interested in working remotely
4-6 years
National Chiao Tung University
・
Computer Science
Senior Software Engineer @Google2021 ~ Present
・
Senior Software Engineer
Within six months
Implemented driver for flow sensor, PT sensor and tri-color leds Familiar with Sysvinit, Systemd, dbus Implemented HAL, daemons, apps in go and python Familiar with mqtt, WebSocket, restful API Familiar with RxRust, Asyncio Familiar with sqlite ORM. Includes peewee(py), GORM(go) Open source project porting Ported numpy, scipy, pandas, scikit-learn to yocto Ported rust-qt/ritual to yocto Investigated and fixed the most complicated issues MCU · RTOS Familiar with esp32, FreeRTOS Implemented ulp program which is written in Assembly Implemented HAL and framework for easily porting Implemented http client and server Software Development Agile Development
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
Tamkang University
・
Aerospace
AI enigneer @, Coretronic Inc.2019 ~ Present
・
More than one year
the fabrication effectiveness. Conduct biological experiments with different type of optical spectroscopy , including total-internal-reflection spectroscopy TIRF , fluorescence spectroscopy , laser scanning confocal microscopy. AugJunMental counsultant Pingtong 298 Mechanized Infantry 學歷National Taiwan University Master Applied PhysicsNational Taiwan University Bachelor Physics 技能 Python: Scientific computing: numpy, scipy Web framework: flask, Django Machine-learning: scikit-learn, keras, gensim, tensorflow Nework investigation: networkx Javascript: cytoscape.js, highcharts.js, D3.js Database: mongodb, SQL, Postgres 語言 Mandarin. Native Fluency Taiwanese Native Fluency English. Professional Fluency(TOEFL score: reading(27), listening(24), speaking(18
Full-time / Interested in working remotely
6-10 years
National Taiwan 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.