Aaron Zemetres

github

linkedin

azemetre.me

Education

University of South Florida,
College of Arts and Sciences

Department of Mathematics & Statistics
BA in Mathematics,
Spring 2013

Department of Psychology
BA in Psychology,
Spring 2013

Key Skills

Software & Operating Systems: Visual Studio, Sublime Text 3, Git, Pycharm, Vim, Atom, Webstorm, Brackets, Terminal/Command Line, iTerm2, IntelliJ IDEA, Adobe Photoshop, Vagrant, Virtual Box, SSH, GMS, Office Suite, Linux (Ubuntu, CentOS), OS X (10.10), Windows (XP, 7, 8.1)
Frameworks and Techniques: Object-Oriented Programming, Test-Drive Design, Regular Expressions, Unified Modeling Language, Bootstrap, Skeleton, Wordpress
Programming Languages: Python (Django & Flask), JavaScript (Node.JS, jQuery, AngularJS, and AJAX), HTML5, CSS3, C++, SQL, MongoDB, Bash, Wolfram Mathematica, GML
Mathematics and Analysis: Linear Algebra, Graph Theory, Abstract Algebra, Bayesian Inference, Partial Differential Equations, and Optimization

Relevant Interests

  • Economic Geography
  • User Experience and User Interface
  • Data Analysis
  • Cinema Studies
  • AV Production
  • Malware Analysis
  • Algorithms
  • Data Structures
  • Cryptography
  • Information Graphics
  • Typography

Professional Work

Orange-Ups
Tampa, FL		 Web Developer
April 2013 - Current
Kablelink
Tampa, FL		 Inhouse Technical Support
May 2014 - September 2014
HC Bar Association
Tampa, FL		 Database Architect
2008 - 2009
VH-Video
Tampa, FL		 Camera Operator & Editor
2006 - 2007

Project and Research Experience

  • Facial Recognition: Used Mathematica to create a program that trains an algorithm to recognize a directory of faces into a series of eigenvectors and using these eigenvectors to classify new faces from the previous sample. This was done by making a composite face and transferring it into a covariance matrix to compare sample faces to. The eigenvales of the covariance matrix were compared to the eigenvalues of the sample images as a means of facial recognition.
  • Gender Perception: Conduexted and gathered survey results, analyzed data using P-values, Poisson and Gaussian distributions and SPSS software.