Research & Innovation
Hayden Donnelly is a technically versatile developer with a strong focus on fundamental computer science problems, exploring low-level systems programming, machine learning, and game engine architecture. Their portfolio demonstrates deep technical curiosity, ranging from zero-dependency Rust applications that interface directly with the Linux kernel to educational Neural Radiance Field (NeRF) models built with JAX and Numba.
The score reflects GitHub profile completeness and project packaging rather than raw technical capability. Strong foundational engineering, advanced math, and low-level kernel knowledge are highly evident despite a lack of production-grade CI/CD and testing infrastructure.
The profile offers a clear picture of the developer's side projects, game jam entries, and educational ML explorations. However, the lack of production-grade infrastructure suggests their enterprise or commercial work is either closed-source or hosted elsewhere.
Prioritizes exploration over polish
No significant red flags detected
This is a small game I made for fun. It was programmed for Linux with Rust and inline x86-64 Assembly. It doesn't use the C Runtime or the Rust Standard Library.
An educational implementation of Instant NGP NeRF using JAX and Numba instead of custom CUDA kernels.
This is a Unity project implementing a custom vehicle controller with a raycast suspension.
Demo of movenet pose estimation. Can be used to create videos with overlayed pose estimations for up to six people.
My NixOS configuration.