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陳俊伯
Data Engineer
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陳俊伯

Data Engineer
Data Engineer (Big Data System, ETL, AI) | Master’s Degree with AI Thesis | 5+ years in IT
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台新國際商業銀行 TAISHIN BANK
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National Chung Cheng University
Taipei City, Taiwan

Professional Background

  • Current status
    Employed
    Not open to opportunities
  • Profession
    Data Engineer
    Software Engineer
    System Architecture
  • Fields
    Software
    Banking
    AdTech / MarTech
  • Work experience
    4-6 years (Less than 1 year relevant)
  • Management
    None
  • Skills
    System Analysis
    Python
    PyTorch
    Kubernetes
    C#
    Scikit-Learn
    AI
    Software Engineering
    Linux
    Docker
    ETL
    SQL Server
    T-SQL
    MySQL
  • Languages
    English
    Intermediate
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    資料工程師
  • Desired work locations
    Taipei City, Taiwan
  • Freelance
    Non-freelancer

Work Experience

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Data Engineer

Aug 2022 - Present
Taipei City, Taiwan
Big Data System & ETL & AI
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Software Engineer

Jun 2015 - Mar 2018
2 yrs 10 mos
● IT: Communicating with users, and relevant IT departments. Design and implement reliable systems and APIs by Spec. - Projects: IFRS 9 Financial Instruments, Anti-Money Laundering (AML) - Maintain/Develop Systems: Stock/Futures Settlement, Singapore Currency Large Amount Notification, Forex System for Trader - Skills: C#, SQL Server (T-SQL), WCF Web Service, Scrum

Software Engineer

Oct 2012 - Jun 2015
2 yrs 9 mos
● IT: Focus on improving UI/UX/system efficiency. Provide reports for decision-making. - Maintain/Develop Systems: B2B Supplier Recommendation Official Web, B2B Buyer and Promotion-mail, AD Sales, HR, Industry News - Optimize SEO/UI/UX with the marketing team for marketing effectiveness. - Skills: ASP, Javascript, JQuery, CSS, MySQL, SEO

Education

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Master’s Degree
Computer Science and Information Engineering
2019 - 2021
Description
● Thesis: SensingGAN: A Lightweight GAN for Real-time Rain Removal with Self-attention (IEEE TNNLS'22 Under Review): SensingGAN can effectively sense objects and rain like humans, and restore the details of objects to satisfy the high safety and efficiency requirements of autonomous vehicles. It increases Object Detection accuracy by 3% in rain-in-driving. In comparison with classical de-raindrop GAN, FPS is improved by 13 times (10 ms). - Skills: GAN, Python, Pytorch, Linux - Github: https://github.com/chenabei0421/SensingGAN
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Bachelor’s Degree
Information Management
2007 - 2011
Description
● International ICT Innovative Sevices Awards - 2nd place - Automatic Composition based on Emotion of Image (倒聽圖說): Judge the mood of the image based on Color Psychology, and automatically compose music according to the HSV of the viewpoint. Responsible for the automatic composition of music and demonstration of the project. - Skills: C++, MIDI

Licenses & Certifications

Google
Issued Mar 2022
No Expiration Date