WEI-KAI SU

LinkedIn : https://www.linkedin.com/in/weikaisu

acryzc@r.postjobfree.com (814) 777 – 7261 1972 70th Street, Brooklyn, NY 11204 Objective Searching a full-time or internship position as software engineer. Willing to relocate and immediately available.

Education Master of Science, Electrical Engineering GPA: 3.57 The Pennsylvania State University, University Park, PA September 2013 - August 2015

Master of Science, Optics and Photonics GPA: 3.81 National Central University, Taoyuan City, Taiwan

September 2006 - May 2008

Bachelor of Science, Electrical Engineering GPA: 3.41 Chang-Gung University, New Taipei, Taiwan

September 2002 - May 2006

Skills Strengths : Pattern Recognition and Information Retrieval Languages : Java, C, C++, MATLAB, and Python

Platforms : Windows 7/8, Linux, and OS X

Databases : MySQL and SQLite

Tools : Eclipse, Visual Studio 2010, Android Studio, Android SDK, Swing, Window 7 API, and JDBC Web Development : JavaScript, JQuery, HTML, CSS, XML, JSON, PHP, JSP, and Apache Tomcat Work

Experience

Senior Display Engineer September 2009 – October 2011 Innolux Corporation, Miaoli County, Taiwan

Designed Thin-Film-Transistor Liquid-Crystal Displays for television and monitor using Laker.

Developed Projected Capacitive Touch technology using Laker.

Built test programs for product performance using C++ and MATLAB.

Achieved 20% increasing in aperture ratio for 21.5" LCD panel.

Improved 200% speed of sRGB Garmut calculating method. Selected

Projects

Scholarly Literature Recommender System (Java, HTTP, MySQL, Javascript, and JDBC)

Developed a search system using the Model-View-Controller (MVC) pattern.

Achieved 70% reduction in retrieval time by applying indexing skill.

Improve 50% relevance of search results by introducing tf-idf algorithm. Supervised Object Recognition (MATLAB)

Ensured scale and rotational invariance extraction by using SIFT descriptor

Achieved at least 70% estimated accuracies, even to 90% for certain classes, by learning classification based on Maximum likelihood estimation and adopting Naive Bayesian classifier. Trend prediction of Video category in Youtube (Python and MATLAB)

Mined potential community in YouTube network by introducing Fast Greedy Modularity Optimization algorithm, which reduced 50% calculating time comparing with traditional k-means method.

Achieved 80% prediction accuracy of category trend of video by linear regression. Instant Message System (Swing, TCP/IP, Socket programming, and Java)

Built a message system consisting of one server and multiple clients.

Established reliable connections between server and clients with TCP/IP protocol.