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周君諦
Experienced AI Researcher Specializing in Signal Analysis
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周君諦

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Experienced AI Researcher Specializing in Signal Analysis
After four years of work experience as a biosignal algorithm engineer at Rooti Labs Limited, I decided to return to NYCU to pursue a master's degree in information science and engineering. During my master's program, my research focused on unsupervised representation learning in time series data. This encompassed exploring self-supervised learning and contrastive learning methods. I graduated in September 2023, and I am now actively seeking opportunities in roles such as data scientist and AI algorithm researcher.
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NeuroBonic Inc.
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National Yang Ming Chiao Tung University
Taiwan

Professional Background

  • Current status
    Employed
    Open to opportunities
  • Profession
    Data Scientist
    Python Developer
    Machine Learning Engineer
  • Fields
    Artificial Intelligence / Machine Learning
    Big Data
  • Work experience
    4-6 years (4-6 years relevant)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Python
    PyTorch
    Machine Learning
    Deep Learning
    Biosignal processing
    Signal Processing
  • Languages
    English
    Fluent
    Chinese
    Native or Bilingual
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired 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
  • Desired work locations
    Singapore
    Hsinchu City, Taiwan, 300
    Taipei City, Taiwan
    Taichung City, Taiwan
  • Freelance
    Non-freelancer

Work Experience

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Senior AI Research/Engineer (part-time)

Mar 2022 - Nov 2023
1 yr 9 mos
Taipei City, Taiwan
- As a core startup member, I am responsible for developing a DL framework for our speech 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
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Biosignal Algorithm Engineer

Aug 2016 - Jul 2020
4 yrs 0 mos
Taipei City, Taiwan
- The primary developer of the processing and interpretation algorithm for long-term ECG recordings. - 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).
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Student association president of BME

Aug 2013 - Jul 2014
1 yr 0 mos
Taipei City, Taiwan
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Research Assistant

Sep 2013 - Jun 2014
10 mos
Taipei City, Taiwan

Education

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Master’s Degree
Computer Science
2021 - 2023
Description
- Advisor: Dr. Vincent S. Tseng (Chair professor, CSIE, NYCU.) - Thesis: Self-supervised pulse-aware and interpretable disentangled ECG representation learning. - Participating in research projects as a researcher and engineer for experiment execution and validation. - Skills: Database buildup (SQL), Data Engineering (NumPy, SciPy, Pandas), Machine Learning (Scikit learn), Deep Learning (PyTorch, PyTorch lightning), C/C++
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Bachelor of Science (BS)
Biomedical/Medical Engineering
2011 - 2015
Description
- Advisor: Dr. Chun-Min Lo (Associate professor, BME, NYMU.) - Analysis of Impedance Fluctuation Obtained by ECIS using Wavelet Transformation. - Student association president of BME, NYMU.

Licenses & Certifications

Coursera
Credential ID: LJC5JR2QBG9N
Issued Feb 2020
No Expiration Date
Coursera
Credential ID: 3RQWDJQZJ8XF
Issued Feb 2020
No Expiration Date
Coursera
Credential ID: 6WH6EUU8EV87
Issued Jan 2020
No Expiration Date
Coursera
Credential ID: G5FB6ENM5XKE
Issued Jan 2020
No Expiration Date
Coursera
Credential ID: EBFTS5SXHUF3
Issued Dec 2019
No Expiration Date
Coursera
Credential ID: NLK6MW8M4R7R
Issued Dec 2019
No Expiration Date