Hi, I am a current Computer Engineering student at SIUE. I am from Columbia, Illinois and have worked on technology my entire life. I have been an incredibly hard worker since I was 14 and held my first job as a lawn mower for Sonnenberg's Landscaping and have worked many other jobs since then.

I have worked on many personal projects during my time at school as well as in my freetime. These include:

• This involved building a camera system that is small enough to improve on current technologies.
• Currently, this technology requires two incisions and is invasive. With this new system, it is possible to create a single incision for both the instruments and camera, as well as being able to pan with a spring system in order to see around the body.
• This project has its difficulties such as having to keep everything in such a small package.
• I have also learned the in's and out's of OpenCV as this project requires being able to focus in on a certain object and possibly have the camera follow the object around with the spring assisted system.
• This project also involved PCB design, as the final product would need some kind of PCB that can be attatched to the Raspberry Pi (the mainboard on the system) and the motors with drivers.

• This project is currently under development in the MicrocontrollersLab repository.
• This is the final project of our Microcontrollers Lab, which we wanted to have a large project for.
• Features:
  • Uses PSoC4 device
  • Features a 4x20LCD (through an I2C interface)
  • Able to keep and store time
  • Can have up to 10 feed times
  • Auto-backup for accidental power off
• This required a large amount of 3D printing, 3D modeling, as well as PCB design to connect all the components of the machine together.

• This is a well known project done by DIY enthusiasts.
• The public repository is given by LucasVR
• This is a basic project that includes several motors, microcontrollers, and potentiometers.

• This project is my most recent project that involves audio recognition and vocal recreation.
• This project can be found under the Hackathon Project 2023
• This project was done under 48 hours and was presented to judges
  • This ended up winning the most ambitious award.
• The features of this project include:
  • Fourier Transform analysis
  • No machine learning algorithms
  • Display of Fourier Transforms
  • English to Phoneme translation