Objective

To obtain a position at a web development company focusing on social web applications, programming, preferably in Python, and possibly contributing to the open source community.

Skills

Languages:: Python, JavaScript, Java, C++, Scheme, VisualBasic, Shell Scripting
Web Development Tools:: Django, CSS, PHP, JSON, JSF, JSP, AJAX, XML, HTML
Operating Systems:: Mac OS X, Linux, Unix, Windows 95/ME/XP/Vista
Others:: SQL, CGI, Latex

Experience

Software Developer (May 2008 to May 2008)

Created a Django-powered website for service tracking.
Set up and managed a server for hosting the website.
Worked with other departments to improve the way data was structured.

RISE Ltd

106 Rainbow Dr

Elkader, IA 52043

(563) 245-1868

Teacher's Assistant (August 2007 to May 2008)

Creating and Grading homework assignments.
Prepare lesson plan and teach two recitations a week.
Help students with their understanding of the material and there problem solving ability.

Iowa State University

3750 Beardshear Hall

Ames, IA 50011

Software Developer Intern (May 2007 to August 2007)

Created a log find application and a record editor to assist my peers in their development.
Developed and created a web application repository to which peers could upload new web applications as well as use web applications uploaded by others.

Thomson West

610 Opperman Dr

Eagan, MN 55123

(651) 687-7000

Education

Central Elkader High School

May 2004

Cumulative GPA: 3.8
Graduated with honors

Iowa State University, Ames, IA

December 2008

Majoring in Computer Science
Current Cumulative GPA: 3.57
Current Cumulative Major GPA: 3.86

Projects

django-schedule: A Django reusable application for tracking recurring events, sorting occurrences for this event, and displaying these occurrences.
erlysocial: A social graph crawler using Erlang and CouchDB. It crawled XFN on the internet in a breadth-first search method. The information was persisted by storing XFN links between websites in a CouchDB with some meta information.
NewsPet: This is a work-in-progress project. It is a trainable RSS reader that categorizes feed items into categories or it trashes them. It uses Naive Bayesian Classification to automatically filter the feed items.