Avatar of Che Nan Kuo.
Che Nan Kuo
Back-end Developer / AI Engineer / Software Engineer
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Che Nan Kuo

Back-end Developer / AI Engineer / Software Engineer
熱愛AI與Web Back-End相關技術。喜歡Python的直覺易讀、JavaScript的簡潔、GoLang的高速效率、熟悉各大AI、Web開發Framework。對新技術總是充滿好奇心、具備自學力與行動力、能夠獨自解決問題。深知科技來自於人性,以人為本的角度探究問題的本質,期望能以程式與演算法解決所有人類的需求。
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COMPAL Inc.
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Coursera
Taipei City, Taiwan

Professional Background

  • Current status
    Not open to opportunities
  • Profession
    Back-end Engineer
  • Fields
    Software
  • Work experience
    2-4 years
  • Management
  • Skills
    django
    Node.js
    Express.js
    PostgreSQL
    MongoDB
    Heroku
    Tensorfolw
    Deep Learning
    Google Cloud
    JavaScript
    golang
    python
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    Backend Engineer
  • Desired work locations
  • Freelance

Work Experience

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Software Engineer

Jun 2016 - Apr 2018
1 yr 11 mos
• Technical lead for AI Face Detection System, written in Python and Tensorflow on Linux platform, with accuracy ~98.28%, improved by 70%, deployed at cafe, restaurants, convenience stores, and department stores in China and Taiwan, with ~13000 daily detections uploaded to the cloud. • Developed Web tools on device with Python, increased efficiency of deployment. • Conducted 2 speeches and 1 training workshop of AI and Deep learning (participant 30 persons). • Built up Tensorflow running environment for team on Microsoft Azure. • Developed algorithm for Smart Automated Guided Vehicle, written in C++ and Python, with ~20 AGV running at China factories. • Developed a computer vision algorithm for auto-retrieving of the shelf and applied for a patent. 

Education

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Non-Degree Program (e.g. Coursera certificate)
Developing Applications with Google Cloud Platform
2018 - 2018
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Non-Degree Program (e.g. Coursera certificate)
Deep Learning Nanodegree
2017 - 2017
Description
https://confirm.udacity.com/CPYJEENL • Accomplished 5 projects in Python and qualified the reviews. • Cloud computing hands-on experience with AWS EC2. • Trained CNN image classifier (VGG, ResNet, Inception.) • Language translation and generation script with LSTM and Word2Vec.
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Non-Degree Program (e.g. Coursera certificate)
Data Structure & Advanced C++
2017 - 2017
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Master’s Degree
Bio-Industrial Mechatronics Engineering
2012 - 2015
3.8/4.3 GPA
Description
專攻爬階機器人研發與控制 發表論文 Claw-Wheel: A Transformable Robot for Search and Investigation in Amphibious Environment. IROS. IEEE, 2017. The Claw-Wheel transformable hybrid robot with reliable stair climbing and high maneuverability. CASE. IEEE, 2016.
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Bachelor’s Degree
Mechanical Engineering
2009 - 2012
3.7/4.3 GPA
Description
主修控制組。專長控制理論、機器人學、機器人控制、微控制器軟體。 作為隊長,曾獲得系際足式機器人爬行比賽第二名。 作為隊長,於仿生機器人實驗室下完成新式軟球機器人之研發製造。