Full Stack Developer
Hi, I'm Brandon Townsend. I'm a full stack Java developer currently completing training through Cognixia's JUMP Program. I'm a Western Carolina University alumni and I graduated with two degrees: A BS in Computer Science and a BS in Applied Mathematics.
I play games, read, and spend time with my family and friends in my free time. I absolutely love learning about machine learning, especially on the topic of genetic algorithms. I also love animals and have a passion for learning all I can about their behavior and protecting their natural habitats.
I'm also currently seeking job opportunities in the world of software development, so feel free to contact me below if you have something that I might be interested in or download my résumé above. Have a great one and thanks for stopping by!
My own implementation of the NEAT algorithm in Java 8. It is based off the research done by Kenneth Stanley at the University of Texas at Austin. NEAT is a genetic algorithm that focuses on the speciation of neural network structure to handle dynamic problems over time.
In the JUMP Cognixia training program, we designed a full stack library application. Backend was Java and Apache Tomcat with a MySQL database, with the frontend consisting of HTML5 pages with Bootstrap CSS and Javascript.
This is a standalone Python application that mimics the behavior of an ant colony. Proposed by Marco Dorigo in 1992, the application is used to visual, in real-time, how swarm intelligence can be used to approximate solutions to problems like the "traveling salesman".