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陳政陽
AI/ML Engineer
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陳政陽

AI/ML Engineer
- Extensive Experience: 5+ years experience in AI/ML and Data Science. - Technical Proficiency: Familiar with AI/ML techniques, including computer vision, diffusion models and Statistics. - Diverse Project Portfolio: Work across various fields, including AOI, production, MRT and education. - Training Expertise: Design courses and guide members to develop their AI projects. Skills AI Framework:TensorFlow、PyTorch、Sklearn。 Program:Python。 Deployment:Docker。 Other Tools: Git / GitLab、Linux。
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緯創資通
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National Cheng Kung University
高雄市, 台灣
Taiwan

Featured Resume

Last updated on Oct 26th 2024

Professional Background

  • Current status
    Employed
    Ready to interview
  • Profession
    Data Scientist
    Machine Learning Engineer
  • Fields
    Artificial Intelligence / Machine Learning
    Consumer Electronics
    Information Services
  • Work experience
    4-6 years (4-6 years relevant)
  • Management
    None
  • Skills
    Computer Science
    Computer Vision
    Data Science
    Machine Learning
    Deep Learning
    Docker
    TensorFlow
    PyTorch
    Python
    Statistics Analysis
    AI & Machine Learning
  • Languages
    English
    Intermediate
    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
    Taiwan
  • Freelance
    Non-freelancer

Work Experience

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AI/ML Engineer

緯創資通
Full-time
Feb 2020 - Present
Kaohsiung City, Taiwan
1. Develop deep learning models to solve the problem of computer vision 2. Develop machine learning models to do numerical analysis 3. Design APIs and deploy the models by Docker 4. Dig out the beneficial information from data
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Algorithm Engineer

Oct 2019 - Feb 2020
5 mos
Tainan City, Taiwan
1. Enhance the algorithm of Automatic Virtual Metrology System(AVM) 2. Apply AVM in production system
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Industrial Engineer

華邦電子
Full-time
Mar 2019 - Aug 2019
6 mos
Taichung City, Taiwan
1. Analyze the manufacturing data to improve the bottleneck of process 2. Develop real-time reports for monitoring the production status 3. Control the capacity and meet the target 4. Implement an education system for assistant engineer

Education

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Master of Science (MS)
Industrial and Information Management
2015 - 2017
3.73/4.3 GPA
Description
Main courses: Machine learning, Statistics

Licenses & Certifications

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Azure AI Fundamentals

Microsoft
Credential ID: H877-9734
Issued Jun 2021
No Expiration Date