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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。

https://www.coursera.org/account/accomplishments/specialization/certificate/BD8MZWTLHLHZ

Coursera

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.

Udacity

National Taiwan University

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.

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。

Back-end Developer / AI Engineer / Software Engineer

Che Nan Kuo

COMPAL Inc.

Software Engineer

• 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.
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Che Nan Kuo’s posts