SHIJIN LIANG (Chace)

Software Engineer intern, The Cusack Center at Buffalo.

June.2011 - Dec.2011

• Developed and maintained web crawler-- SpideyElite which connecting NYS database and our local database.
• Builded Cusack Center online course system based on Moodle. Customized Moodle to fulfill our requirement. The language we use include html, css, javascript with YUI library, PHP, AJAX, and sql.

Software Engineer intern, Guangdong Join-Cheer Software Co., Ltd.July.2009 - Nov.2009

• Participated in the development of Join-Cheer General Purpose Platform. Job includes: Generation of manual and automated test plan and test cases.
• Joined the budget management system development team for China Datang Corporation. Contributed to the complete customizable web application portal for better user experiences.

Software Engineer intern, Guangzhou Matech Technology Co., Ltd.July.2008 - Sep.2008

• Joined the Development Department for developing information system for service asset management of Guangzhou Automobile Industry Group Co., Ltd. (GAIG). Participated in front-end development. Including re-design the UI components and re-implement existing PHP page.

Biomedical Data warehouse systemSep.2011 - Oct.2011

• The main purpose of this project is implement a clinical and genomic data warehouse based on star schema with Oracle Database system. Our data warehouse system supports basic OLAP operations(roll-up, drill down, slice, dice and pivot) and statistic methods(like t-test, f-test and ANOVA). Also we provide knowledge discovery. We implement the back-end system with java which connecting to Oracle database system. For the front-end part, we use PHP to handle the connection between the layout and database system. We design and implement the user interface with HTML5 and CSS3.

Recommendation Systems: Augmenting Basket Analysis with Social Media Analysis Feb.2011 – May.2011

• The goal of this project is to extract useful comments and information from social media; based on similarity of match to products in a customer’s basket, recommend new products. The recommender we build will first cluster user data according some certain rule and divides these data into several groups. Then recommender will train the patterns with user data. After that, our system can calculate the rate of similarity for every wine within each group, and make recommend base on this result. The whole project is developed by JAVA and Matlab on Linux environment.

Database Engine Mar.2011 - May.2011

• Using Java language on Linux environment, we simulate Database engine. First, we implement a framework for storing files with one or more indexes that using the B+ tree data structure. Then, we build the query parser and evaluator for our database engine.

Weather Service-Based Distributed System Feb.2011 - May.2011

• Designed and implemented a distributed system consists of backend and frontend application. In backend part, Server and Client communicate with RMI protocol. RMI server parses and analyzes weather data. In frontend part, Client communicates with web service using SOAP message. Also Google Map API is used in displaying weather information.

Web Searching Engine based on Wikipedia dataset

Sep.2010 - Nov.2010

• Developed an information retrieval engine with three major components: Text parser, Indexer and Retrieval system. At first, we parse raw text into special format. Also we build term dictionary, file dictionary, term count dictionary at this time. Then we finish indexer that includes forward indices and inverted indices. Finally, we calculate PageRank and return searching result.

Automatic Question Answering System May.2009 - Aug.2009

• We focus on FAQ, like questions and answers, and build our system with noisy tolerance style architecture, which exploits both a language model for answers and a transformation model for question/answer terms. We build a B/S architecture system. This system contains three main parts. Firstly, we cluster the whole Q&A pairs, which are extracted from social media, into several groups according interrogative and store them into database. Secondly, we parse the user input to determine it belongs which group, and calculate the similarity between user input and questions in this group. According to the result return the answer to user. Finally, we improve our knowledge base with user’s feedback.

Research on Open source Linux Kernel base on ARM platform

Mar.2010 - June.2010

• Provided a creative solution to transplant Linux kernel to our ARM platform, SMDK2410. Analyzed and improved the real-time performance of the kernel we transplant.

• Second-class Merit Scholarship (top 10%), 2006 to 2009
• Entrepreneur Scholarship of Jianxin Golden Scholarship (one position for whole department), 2008
• Most Original Award of CVT Campus Planning Contest, 2009
• Two-Star Volunteer of Guangdong Province, 2009

• Program Languages: JAVA, C/C++, Objective C, Python, PHP, HTML, CSS, JavaScript, JSP, XML and SQL;
• Operating System: Mac OSX, Linux, all series of Microsoft Windows;
• Other: Highly motivated and results-oriented engineering professional; able to work independently or cooperatively as part of a team;