G E O R G E R O B B I N S2212 Glossy Privet Drive Orlando, Florida 32828 // (843) 475-4422 // gwrobbins1@gmail.com

SUMMARY:Highly motivated entry level software developer. Currently finishing up Bachelors of Science majoring in Computer Science at the University of Central Florida. Seeking an internship, co-op, or job in the field of software, app, or web development.

EDUCATION:FLORIDA STATE COLLEGE AT JACKSONVILLE | MAY 2012 – MAY 2013

DEGREE: Associates Degree with emphasis in Computer Science

UNIVERSITY OF CENTRAL FLORIDA | MAY 2015 – PRESENT | EXPECTED GRADUATION MAY 2016DEGREE: In progress – Bachelors of Science for Computer Science

SKILLS:

Java C/C++ Python R Unit Testing/Debugging Opencv Regular Expressions

Mysql/Sqlite Hadoop/Hive/Distributed

Computing Django Jekyll Data Analytics Weka

HTML/CSS Bootstrap/Mobile Design PHP Jquery/Responsive Design JavaScript Boost Libraries Linux/Mac OS/Windows

COURSES COMPLETED IN MAJOR:

Computer Programing with C Intro to OOP with Python Computer Science 1 Computer Science 2 Big Data

Computer Organization Discrete Structures Computer Networks Software Developement

PROJECTS: LOG-IN SYSTEM

Developed in c, the system allowed the administrator to create an account, password, and email address. Once logged in, the administrator could add, delete, or change profile information of the users. The users would change their passwords on a scheduled basis in which the system maintain a list of previous passwords that could not be chosen. The System also performed password and email address verificationbased on a predefined restrictions.

BOGGLE GAME SIMULATION

Developed in c, the simulation maintains lists of die and randomizes the board layout. The user would then pick-out as many words as they could within the given time limit.

EMAIL CLASSIFIER

The email parser was developed in python utilizing mailbox and regular expressions libraries. The parserextracted the desired data from each email and output the data into a file used by the classifier. The data was fed into a naive Bayesian and random forest classifiers for study and comparison. Weka and Java were used for the classifiers which classified emails as spam or not.

CAT JPEG CLASSIFIER

Using Java, first the application iterated over 75000 cat JPEGs to crop out the faces of each cat. Second, the images were fed into a k-means classifier also written in Java. The classifier identified the data points on each cat to learn how to identify the species of cats in pictures that were not included in the data set.

STACK EXCHANGE RESPONSE STUDY

From data pulled from stack exchange website, the first part of the application was built in Java utilizingapache, hadoop, map – reduce, and regular expressions libraries to extract data points from users' responses. The hadoop library was necessary to distribute the computing among multiple servers to munge the data in an appropriate amount of time. Once the data was extracted, R was used to analyze the data to produce graphs and charts of the results.

TCP NETWORK SIMULATION

Written in Java and utilizing socket programming libraries, the application mimicked TCP communication between a web server and client. The simulation was used to develop graphs and charts for study.

TO-DO APPLICATION

The application was written in c++, utilizing a sqlite database on the back-end. The user can create a new database of to-do lists, delete databases, and edit to-dos stored in the database. The application maintained the database schema and allowed the user to sort to-dos in a list, search that list, and performmany operation based on dates of the to-dos in the list.

PROFESSIONAL EXPERIENCE: US NAVY | USS CARL VINSON, NUCLEAR ELECTRONICS TECHNICIAN MAY 2006 – MAY 2012

Safely operated nuclear reactors during steady state, casualty, shutdown, and war-time conditions. Performed routine and casualty maintenance on electronic equipment necessary for safe reactor operation.

BEST BUY | COMPUTER SALES AUGUST 2014 – PRESENT

Sales consultant specializing in computer sales. Consistently performs as above average seller among allstores in the region.