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Bo heng Yu) Date of birth : 08/06/1991 Phone :Email : [email protected] Line : aro6950 Language : Chinese (流利 fluent) English ( 日常對話 conversant ) IDE : visual studio、vscode Backend : ASP.NET(MVC) 、C#、Razor、 API Develop、Swagger、 Python、Flask、BeautifulSoup、web crawler、entity framework、dapper Frontend : JavaScript、JQuery、HTML、CSS、AJAX Database : SQL server、MySQL Cloud : Azure DevOps 、GIT(Sourcetree) 專案 Project 渣打銀行保險證照管理系統專案 (後端) 撰寫證照管理、排程寄信、 進件

方法及其模型的建立 ✓ 2023 國際大數據與ERP學術及實務研討會榮獲第二名並推薦至Journal of e-Business (TSSCI) : [email protected] :Machine learning Data Analysis Web Crawler Software Engineer Skills 資料分析 Programing language: Python Machine learning: KNN/SVM/ Logistic Regression/XGBOOST/ RandomForest Deep learning: DNN/RNN Web Crawler: Selenium /Request /BeautifulSoup NLP :Jieba/LDA Deep learning framework: Autokeras/Tensorflow 2 Machine learning tool: Weka

趙振甫 (Frank Chao) 8+Years experience in backend development using Javascript, NodeJS, cloud and on-premises infrastructure maintenance Proficient in Web Crawler Development, Infrastructure Design/Maintain, Public Cloud, RESTful Services/APIs Back-End Engineer Taipei City, Taiwan [email protected] Work Experience Back-End Engineer • Institute for Information Industry, III Responsible for designing and developing a social media web crawler for a Fortune 500 company, using Nodejs for distributed processing of metadata, collecting more than 10 million pieces of data each year. These data are used in PMI correlation analysis, consumer sentiment

習 • 動力安全資訊股份有限公司 七月Present 協助主管及同事將重複瑣碎的工作透過 Python 自動化 減少 50%重工的時間 Development 開發 Python Calendar Crawler 結合 GCP 服務將 Google Calendar 工作日誌輸出至 Google Sheet 開發 Python LDAP Searcher 針對自定的搜尋條件獲取人員屬性等資訊並輸出至 CSV 彙整 將 LDAP

700K TWD/year. Thermal image monitoring system : Mainly using C++, capturing the image data by RTP, then streaming to a website using Python Flask,data storage using MongoDB. Systems are used to prevent thermal damage. Automated process project : Using Selenium in Python,making web crawlers to get data from webpages, reducing the daily repetitive work. Employee training management website : Using Python Flask, HTML, JavaScript, Bootstrap to build the website, data storage using Microsoft SQL Server, providing department and personal visualization reports on the website. Intern SYSTEX Corporation • JulyJuly 2020 Contract and inventory

Backend Engineer • Ponddy Education Inc. 七月三月Upgraded data processor: Migrated SQL-based to Django's ORM module for better performance 2. Improved audio model: Programmed Python function to crawl 20,000 mp3 files for text-to-speech processing 3. Streamlined news collection: Developed web crawler to gather articles across categories 4. Advanced AI training: Operated deep learning model to teach 15 article categories interpretation and identification 學歷 University of Illinois at Urbana-Champaign MS in Information Science技能 Languages Python JavaScript Kotlin Java HTML CSS Tools & Database Git SQL MongoDB Neo4j

discourse relationship tree to help the model learn the news discourse and structure in order to generate an accurate and coherent summary News knowledge update task Given an existing article about a related news event, then generate an updated article according to the information from the news event Leverage web crawler to collect original articles, news and updated articles triples from the website and generate the news event triggered knowledge update dataset Published in CIKM 2022 [1]: Paper: https://dl.acm.org/doi/abs//Github: https://github.com/