Computer Science Service

Mingxiao Luo

New York, NY ***** 929-***-**** aczlbb@r.postjobfree.com

EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY Master of Science (MS) in Computer Science GPA: 3.72 05/2017 Zhejiang University, Department of Information and Electric Engineering Hangzhou, China Bachelor in Electrical and Computer Engineering 09/2013 TECHNICAL SKILLS

Front-end: HTML5, CSS, Bootstrap, Less, AngularJS/Angular-Material, NodeJS Back-end: Java, Python, MySql, Oracle, Informix

Integration: AWS, Azure, Docker/Github

Documentation: Latex, Adobe-Indesign, Office, Jupyter Notebook WORK EXPERIENCE

ZTE Corporation Chongqing, China

Junior Developer 01/2015 – 12/2015

Designed user-friendly web pages for customers using HTML, CSS and ZK framework

Utilized Spring framework to build business service in Java programs.

Conducted maintenance for server clusters. Monitored the port, firewall and troubleshooting for server-side problems.

Deployed Hadoop applications on servers including Hbase and Hive. Migrated data from local database to Hbase Chongqing University Chongqing, China

Research Assistant 09/2015 – 12/2014

Developed embedded systems on FPGA by designing electrical circuits and elements in software, coding with Verilog, screening and testing electrical components

ACADEMIC PROJECTS Pace University

Web Application 01/2016 – 05/2016

Created responsive web pages using Bootstrap and less frameworks, dynamic JSP and Servlet techniques.

Developed web service programs to transfer information among remote interfaces via Axis technology.

Developed java security programs to encrypt, decrypt and validate the transferred XML files. Socket Application

Socket games 01/2016 – 05/2016

Developed Java socket games. Enabled several users to connect and play a board game together.

Designed the game display using Java Swing. Implemented the game rule and logic in Java programs.

Dealt with the synchronization and thread problems to make sure the game runs smoothly and display simultaneously on different remote computers.

Sentiment Analysis for Social Media via Word2vec (Thesis Project) 09/2016 – 12/2016

Collected data from Twitter posts which is about airline company and customer feedback.

Identified whether customers had positive or negative sentiments towards specific airline by programming Python language to recognize the similarity of tweets and grouped them by different topics

Process and train the data using Python packages. Classified the trained data into different categories.

Compared results to other Twitter posts to check similarities. In comparison between our programming analyses with actual manual-checked twitter posts, the accuracy reached over 80 percent in more than 14000 Twitter samples. Game Application 09/2016 – 12/2016

Implemented Unreal Engine to develop action games. Designed the game layout in Unreal software

Developed game activities and triggered actions by Coding with Unreal script language

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