Education
University of Texas at Dallas (Master’s Degree of Science) 2018 fall - 2020 spring
Computer Science GPA: 3.3
Taiyuan University of Technology (Bachelor’s Degree of Engineering) 09/01/2013 - 07/01/2017 Software Engineering GPA: 3.56
Knowledge and Skills
Language : Java, Python, Scala, R, C#, C++.
Web(back-end) : J2EE (JSP, Servlet), Microservices, SpringBoot, .NET Frameworks, Mybatis, Docker, Junit.
Web(front-end) : AngularJS, Bootstrap, HTML5/CSS, JavaScript, jQuery, Ajax.
Big Data :Spark, Hadoop, AWS.
Database : SQL, MySQL, Oracle/PLSQL, MongoDB.
Searching : Solr.
IDE&Tools : GIT, SVN, Visio, Axure, PowerDesigner, Photoshop, IDEA and Eclipse. Internship Experiences
Java Software Engineer Intern, INSPUR Software Co., Ltd, Beijing, China 11/2016-04/2017 Website: http://www.inspur.com/
Polices Cloud Search Platform (Spring MVC, Solr, Oracle, jQuery Ajax, Json and some RESTFUL API)
* Developed and tested the “searching function” with Solrj API.
* Configured the records into Solr server and used IKAnalyzer to set Chinese word segmentation.
* Used customized Spring MVC to return result from back-end to front-end.
* Used jQuery and jQuery Ajax to do result paging and filtering.
Anti-Terrorism Application Platform (RESTstyle framework, Echarts, Oracle, jQuery Ajax, Mybatis, BootStrap.)
* Responsible for development and test of several modules for user to collect data.
* Used Bootstrap to beautify the front-end web page.
* Used Mybatis with Oracle database to do data persistence.
* Present the heatmap of migration with Baidu’s Echarts using json data. Campus Practical Experiences
Dallas Care Database System Design (Oracle, SQL, Visio) 11/2018
* Designed and realized a relational database to be able to smoothly carry out the hospital’s work in an organized way.
* Designed following modules: Person, Employee, Patient, Visitors, Pharmacy, Treatment, Rooms, Records and Medical Bill Payment.
* Made logical EER design to physical realization and followed the normal forms.
* Developed many complicated views to show “Top doctor”, “Common treatment”, “Medicine status” and so on.
Image Generation Based on Description (Python, GAN) 05/2019
* Designed a generative adversarial network (GAN) for text to image generation.
* Used two convolutional neural networks: generative network, which tries to generate an image to fool the discriminator, and the discriminator, which tries to determine if an image is real or generated.
Semantic Textual Similarity computation (Python, NLTK, Sklearn) 11/2019
* Implemented an NLP pipeline to extract the following NLP based features from the natural language.
* Implemented a machine-learning algorithm to determine the semantic textual similarity (STS) between two pieces of text and produce at similarity score (integer value between 1 (lowest) and 5(highest)). Publications
College Computer Application Courses (Windows 7+Office2010) Publishing House: Educational Science Publishing House Role: Coeditor
Visual FoxPro6.0 Basic Training Courses of Programming Designs Publishing House: Tianjin Education Press Role: Coeditor Lou, Haoran
https://github.com/LouHaoran
Address:3217 Chippenham Drive, Plano, TX 75093
E-mail: adcjwq@r.postjobfree.com Phone: 972-***-****