Hi, I’m Daniel 👋
I’m a computer scientist with experience in software engineering, data science, academic research, and much more. Where there are interesting problems to solve or pretty graphs to be made, you’ll find me. On the side, I love fighting games, ping pong, and random tech stuff. Have a look around!
Interests
- Machine Learning
- High-Performance Computing
- Compilers & Interpreters
Education
M.S. in Computer Science, 2024
University of Kansas, GPA: 4.0/4.0
B.S. in Computer Science, 2022
University of Kansas, GPA: 3.74/4.0
Projects
*
MatProp is a compact backpropagation engine and neural network framework that provides a PyTorch-like interface for defining and training neural networks using autograd-supported matrix operations. It has been thoroughly tested against PyTorch to ensure that its calculations of values and gradients are correct, and despite its capabilities, it has a codebase of only about 300 lines of code with ample documentation.
Glimmer is a fully statically-typed scripting language which aims to have clean and simple syntax while drawing some inspiration from each of my favorite languages and topics. This implementation of Glimmer comes with a complete Read-Eval-Print-Loop (REPL), Read-Parse-Print-Loop (RPPL), and Read-Lex-Print-Loop (RLPL). Of course, you can also execute source files directly.
