Hi there 👋

Here you'll find code for my random projects, largely related to engineering and imaging HPC tasks! Feel free to use my code for your own exploration, and please attribute me if you use any of my work in a more signficant project.

• 🔭 I’m currently working on:
  • CT Simulation of 3D-prints for Deep Learning Material Semantic Segmentation Training (Wrapping up work from my research capstone)
  • Currently in two private repos until further along, better documented, and ready for public release.
• 🌱 I’m currently learning:
  • GAN/CycleGAN methods for domain adaptation in simulation-to-real pipelines.
  • U-Net and V-Net semantic segmentation architectures.
  • More about PyTorch Distributed Data Processing and Multi-GPU training best practices!
• 💡 I'm looking to start:
  • Rolling my own implementation of 2D Gaussian Splatting and attempting to implement some foundational papers on my own.
  • Learning more about mobile sensor fusion to computational imaging. Finding ways to use gyroscope data or other cameras on a device to create unique or better outputs from the main camera.
  • Possibly developing a basic chess engine from scratch to learn more classical ML techniques.
• ⚡ Fun fact:
  • I occasionally speedsolve Rubik's cubes! You might see some related repos here in the future for that!

Feel free to contact me and ask about my projects!