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technologies such as OpenCV, Scikit-Image, scikit-learn, NumPy, Matplotlib, PyQt5, etc., to implement various functionalities. Additionally, I possess the ability to develop mobile applications using Django and React Native. I am proficient in using testing frameworks, GitHub for version control, and Docker for deployment. . Machine Learning and Deep Learning Here is a summary of the relevant technologies in the field of machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides

reaching local vendor. I trained these comrades from 0 experience in iOS development to be capable to work alone in Objective-C, then I went to study more fundamental framework like AVFoundation, CoreAudio. Avermedia, Android application engineer, Dec 2013 ~ Mar 2015 Handled streaming media app which broadcast TV content from a dongle in LAN, participated in live app development, and also studied part of Android 4.4 framework. Education National Sun Yat-Sen University, Master of Science (MS), Electronic Engineering, 2010 ~ 2012 Actually still major in computer science related topic, involving machine learning, distributed computing.

and the mechanism of defect formation. Also experienced on develop defect analysis system with IT and machine learning engineer. For job skills/tools, learned to program by VBA, SQL and some python because of the large amount of data analysis at work, and also try to apply machine learning to work. Currently working and studying hard to become a data scientist. 資料科學家/機器學習工程師 Taipei Special Municipality，TW [email protected] 工作經歷 TSMC, 資深缺陷分析系