目前在山水技術服務有限公司擔任軟體工程師一職, 利用 flutter 開發android 與ios app, Currently working as a software engineer at Shanshui Technology Services Co., Ltd., using flutter to develop android and ios app.android : https://play.google.com/store/apps/details?id=com.loucms.sansuiappios : https://apps.apple.com/tw/app/%E5%B1%B1%E6%B0%B4%E6%99%BA%E6%85%A7%E7%9B%A3%E6%B8%AC%E7%B6%B2/id1466593738backend : flask with apachedatabase : mongoDB

In this thesis , I implement a snack ingredient query system, via camera on smartphone to capture the cover of snack package and google cloud vision (OCR technology) to recognize the ingredient to digital data then query the database for those ingredient's descriptionImplementation environment: Android studioCoding language: Java for androidBackend framework and database: flask and MongoDBGoogle cloud : google cloud vision api (use for OCR)本論文主要是實作一個食物成分查詢系統, 透過手機相機拍攝零食的成份表, 再由google cloud vision api 將圖片辨識成數位檔案, 再由後端資料庫存取成分相關說明開發環境：Android studio語言：Java for androidBackend : flask mongo dbGoogle cloud : google cloud vision api (use for OCR)

This project is mainly used to explore the situational factors and motivations that affect the willingness to perform crowdsourcing work.After the android app is automatically generated by the front-end interface, the android app is automatically installed on the mobile phone of the testee for related research.My contribution is create api service for front-end system to useOpenSource Project: MinukuCoding language：pythonFramework:flaskDatabase: mongo dbInstance: AWS EC2github: https://github.com/minuku/minuku_backend此計畫主要用於探討影響執行群眾外包工作意願之情境因素和動機藉由前端介面提供無程式能力者自動產生android app後 安裝於受測者手機，進行相關研究開源專案:minuku語言：pythonFramework:flaskDatabase: mongo dbInstance: AWS EC2開發api與前端串接github: https://github.com/minuku/minuku_backend

In this project, we try to use magnetometer to predict whether car is parking on it , we hope to improve the outside parking experience Implementation environment: Arduino IDE, Android StudioCoding language: C and C++ for Arduino and Java for androidSensor : Bluetooth 2.0 ROHM Magnetometer NB-IoT radio transceiverBackend framework and database: flask and MongoDBgithub : https://github.com/loweiling/SmartParkingLot本計劃是藉由磁場感測計判斷是否有車輛停在上方，藉此希望應用於戶外停車空間車輛停車之判斷開發環境：arduino ideAndroid studio語言：c and c++ for arduinoJava for androidSensor : Bluetooth 2.0ROHM 磁場感測計NB-IoT 傳輸模組Backend : flask mongo dbgithub : https://github.com/loweiling/SmartParkingLot

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