I'm a Computer Science student at Boston College, with a minor in Finance. I'm deeply interested in software engineering, machine learning, and building innovative projects that solve real-world problems. I am originally from Kansas City and in my free time I enjoy reading, listening to music, and going to the gym. Currently working on a CUDA implementation of Native Sparse Attention and building LLMs with LoRA and RoPE.
2022 - 2026
Bachelor of Science: Computer Science
Minor: Finance
2024
2023 & 2022
Neural network approach for modeling interactive game environments using Vector Quantized Variational Auto-encoder (VQ-VAE) and Spatio-Temporal Transformers. Trained on Atari Skiing gameplay data. A detailed technical report is available in the linked repo.
PerfectRep is a 3D pose estimation model tailored specifically for powerlifting analysis. It allows for precise tracking and analysis of lifter's movements to ensure perfect form and technique.
A tiny entirely unoptimized autograd engine with gpu acceleration built with CUDA and C. A small neural network library is included to trained multi-layer perceptron models with gradient descent by backpropagation.
Efficient CUDA implementation of "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention". This uses warp primitives and Tensor Cores for optimal performance.
EagleEval is a platform designed to empower Boston College students with valuable insights into teacher and class ratings. Used by 5,000+ students. Explore at eagleeval.com.