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周君諦
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.
NeuroBonic Inc.
National Yang Ming Chiao Tung University
Taiwan, 台灣
Professional Background
- Current statusEmployed・Open to opportunities
- ProfessionData Scientist・Python Developer・Machine Learning Engineer
- FieldsArtificial Intelligence / Machine Learning・Big Data
- Work experience4-6 years (4-6 years relevant)
- ManagementI've had experience in managing 1-5 people
- Skills
- LanguagesEnglish・FluentChinese・Native or Bilingual
- Highest level of educationMaster
Job search preferences
- Desired job typeFull-time・Interested in working remotely
- Desired positionsAI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 locationsSingapore・Hsinchu City, Taiwan, 300・Taipei City, Taiwan・Taichung City, Taiwan
- FreelanceNon-freelancer
Work Experience
Senior AI Research/Engineer (part-time)
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
Biosignal Algorithm Engineer
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).
Education
Master’s Degree
・
Computer ScienceDescription
- 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++
Bachelor of Science (BS)
・
Biomedical/Medical EngineeringDescription
- 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.