Josiah Snyder

About Me

I am a Computer Science student at the University of North Texas, currently based in Fort Worth. My academic journey has been defined by a commitment to excellence, maintaining a spot on the President's List since my first semester. I am passionate about building impactful technology and enjoy spending my free time exploring everything from systems programming to sci-fi literature. I'm always looking for the next challenge that piques my interest. I am currently looking for an internship, let's connect!

Skills

C++

I have written many projects in C++ and have about a year and a half of experience with the language. One of the projects is the course project mentioned below in the projects section.

Python

I have about 5 years of Python experience and have written many projects with it. One of the most recent projects is the IoT Malware Detection project, which is mentioned below in the project section.

Caddy

I have used Caddy to host this website after installing and configuring it for my web server.

Linux

I have used linux for many things and have even ran it as a daily driver for more than 5 years. As such I have had to troubleshoot many things in linux and have discovered how to configure many systems within linux.

GitHub

I have used Git and GitHub to manage many of my projects that might require significant time to work on, or that need input from other people. The IoT Malware Detection Survey project below used GitHub to help organize all the code we wrote for the paper so that anyone interested may see what we did.

Pytorch

I have used this for one project, which was the IoT Malware Detection Survey, as we had to create ML models for that. I had to create a CNN that would take statistical data from a graph to determine if a program was malware.

Projects

Iot Malware Detection Review

Me (left) standing with scrappy (middle) and my research partner Vikrium (right).

This project was to find out the problems that currently exist while trying to replicate Artificial Intelligence research. For this, we replicated some research papers about IoT malware detection and discovered issues that were in the papers. Some did not have an available dataset and therefore could not be properly replicated. The research was conducted during the UNT AI Summer Research Program in 2025. We have yet to finish finalizing the paper, but we currently have a poster showing our results. The poster was also presented at the UNT University Research Day. The current version of the poster can be foundhere.

Course Project

This project was designed to help me understand how graphs could be used in a real scenario. The scenario was to design 3 algorithms that an airline or travel site might want. The first algorithm was to find the path with at most a certain number of connecting flights. The second algorithm was to find the path that had the fewest connecting flights between two cities that also included two other cities. The last algorithm was to find a city that had the fewest connecting flights from three other cities. If you would like to learn more about the project, you can visit the GitHubhere