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YUEH-CHYAU LI

Full-stack Web Engineer。TAISHAN DISTRICT,243,TAIWAN。0972175125[email protected]

 PROFILE


Currently working as full-stack web engineer at WIN Semiconductor, I do various types of web system development, such as customer e-service, product information management and administrative, and I also do machine learning on smart application to company.


My goal is to development a low-cost but highly effective web system. When faced with the vast business requirements, can formulate solutions immediately to improve business benefits.

 WORK EXPERIENCE


Full-Stack Web Engineer - WIN Semiconductors Corp., November 2018 - Present

  • My work focus at Web System Development, PRTG Server Monitoring, B2B Software Maintain, Machine Learning Smart Application, GitLab Management.
  • Good at using C#ASP.Net MVCRazor.Net EntityFrameworkHTMLCSSJavaScriptJqueryBootstrap 3Bootstrap 4PRTGSoftwareAG webMethodsGitLab to solve problems.
    • Web System Development contains Requirements Collection, System Design, Front-End and Back-end Design and Database Design.
    • Project
      • Customer E-Service - Whole web system contains Account Management, Identity verification, Order System and File Download System for strengthen security and convenience. We use rwd website to improve performance and get more customer satisfaction.
      • Product Information Management - Record product manufacturing and spedification information, and provide data to ERP, customer service and revenue estimation to make decisions.
      • Administrative - Employee welfare related system.
    • PRTG Server Monitor
      • Parse - Anlysis of the causes of server problem.
      • Monitor - Monitor server CPU, memory, disk space, website and reminders of abnormal status are formulated.
      • Maintain - Trubleshoot the situation when the server has problem and make a plan to prevent second occurrence.
    • webMethods B2B System Maintain
      • Maintain - webMethods troubleshooting.
      • Development - Customize functions according to customer needs.
    • Machine Learning Smart Application - Development automated monitoring system to strengthen information security, reduce labor management cost.
      • Smart Meeting Room - Use enviromental factors with machine learning(Random Forest) to predict personnel activities, maximize meeting room utilization.
    • GitLab Management - Code Quality and Project Version Management, CI/CD Applicaiton.
      • Code Quality Management - Make uniform coding stlye, review to eliminate any abnormal code.
      • Programming Project Version Management - Detect human in room or not by collect and analysis enviroment data.
  • My every year performance appraisal is A(Highest performance).

Substitute Civilian Serviceman at Education Department - New Taipei City Goverment, October 2017 - October 2018

  • We learn to cooperate with each other, obey the command, don't be a selfish person. In the army, you represent not only a yourself, but also an entire group.
  • I was assigned to a sport-relative agency, help civil servant exchange official document and handle problems with computer software.

Head of Communication Equipment at DongFong Tech., August 2017 - August 2017

  • Contact with equipment manufacture, and arrange them come to the stadium to install information and communication equipment.
  • Maintain the equipment to ensure world universiade is operating normally.
  • Demolition equipment at the end of the world universiade.

thesis:application of recurrent neural network on identification of blogger's sponsored article, August 2016 - August 2017/Click Me

  • Use web crawler API craw the type of food articles from web forum.
  • Data pre-processing to delete html tags, and use TF-IDF to create a database of key term.
  • Find article's feature by key term, then import article feature to Tensorflow for training to produce a predictive model.
  • Finally, put the test data and use five cross-validation to observe the final result In the thesis, RNN-LSTM's classifier accuracy 98% is better than RNN's classifier accuracy 77% and Naive Bayes classifier accuracy 88%.

Programming Language
  • Java
  • Ptyhon
  • Html
  • DataBase
  • MSSQL

  • Data Mining
  • NLP
  • Text Mining
  • Algorithm
  • TF-IDF
  • Naive Bayes
  • RNN
  • TRNN-LSTM

  • Package
  • Tensorflow
  • ptt-web-crawlerHtml
  • Intern at eland Information Co., May 2016 - June 2017

    • Learn how to big data analysis, text mining, algorithm development, database optimization, and I responsible for pre-processing to construct a key term database by billion of article.
    • Find emotion of article , write a parser and load key term from database for automatically identify the term's lexical of article, can get emotion of article from parser.

    Programming Language
  • Java
  • Html
  • DataBase
  • MSSQL
  • NoSQL(MongoDB)

  • Data Mining
  • NLP
  • Text Mining
  • Algorithm
  • TF-IDF
  • N-Gram
  • POS
  • Project Assistant at Maxxis International., June 2015 - September 2015

    • Spare parts detail adjustment, being stationed to case company modify the code.
    • Database adjustment, fix spare parts inventory decision-making system.

    Programming Language
  • VBA
  • VB
  • DataBase
  • MSSQL
  • Project Assistant at Maxxis International., September 2014 - May 2015

    • Help case company construct a spare parts inventory decision-making system, reduce the cost of spare parts, reference spare parts call history, we found that 80% of the cost is caused by 20% of spare parts.
    • We use GA algorithm to get high and low spare parts quantity level, avoid too much inventory costs, solve case company inventory costs waste.
    • Design an easy decision-making UI, let user can process easily, improve the situation that was calculated manually on paper.

    Programming Language
  • Java
  • VBA
  • VB
  • DataBase
  • MSSQL

  • Algorithm
  • GA
  •  EDUCATION


    Mater of Information Management at National Taiwan University Science and Technology, August 2015 - August 2017

    • Proficient in Data mining, Nature Language Process(NLP), Deep learning, Recurrent Neural Network - Long Short Term Memory(RNN-LSTM) 
    • Create a simple music search page, has a little website application experience. 
    • My thesis is focus on use NLP and RNN-LSTM to identification sponsored content.

    Bachelor of Industrial Engineering and Management at National Yulin University Science and Technology, July 2011 - July 2015

    • Proficient in production management, quality management, operation research, statistical, and i usually assigned programming in teamwork. 
    • Has industry-university cooperation experience, the goal is reduce and improve the cost of inventory control for case company.

     SKILLS


    PROGRAMMING

    • C#
    • Html
    • Java
    • JavaScript
    • Html
    • Python
    • R
    • VB
    • VBA
    • MSSQL
    • MySQL
    • MongoDB


    TOOLS

    • Eclipse
    • NetBean
    • Jupyter Notebook
    • R Studio
    • Notepad++
    • Visual Studio 2017
    • Visual Code
    • Software AG Designer
    • GitLab


    OTHER

    • Toeic 655
    • Linux


     AUTOBIOGRAPHY


              Constant thinking, what is your value? how to improve your value step by step, the first step is to start with "interested". 


              From high school technician for industry writing work, programming logical controller, component configuration on circuit board.


              After going to college, I learn industrial engineering management, improvement of production line, hypothesis and probability theory of statistical. In the end, because of the love of programming, I went to study master of information management in National Taiwan University Science and Technology, all of this is depends on interest. 


             I am YUEH-CHYAU LI, love programming and data mining, important to Action speak louder than words, always keeping curiosity and enthusiasm is my attitude in this world, keep on going, never give up, thank you very much for your time and consideration, and I hope I can have a chance to talk with you in person.

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