Welcome to my personal GitHub! I am a self-taught developer specializing in Rust with a focus on distributed and topological computation.

I have a unique blend of interests enabled by my blend of innate curiosity and knack for technical subjects:

• Artificial Intelligence - One of my core interests that is, one way or another, supported by my other interests.
• Compute - A majority of my own, personal research is dedicated to a delicate blend of mathematics, music theory, and computation.
• Decentralization and Distributed Systems
• Engineering - An engineer's mindset is critical for discovering the solutions to problems we have yet to uncover.
• Mathematics - A fundamental understanding and appreciation of mathematics empowers me to tackle the abstract with confidence.

While I have a seemingly infinite number of on-going projects, my efforts have become increasingly concentrated and are highlighted in the following repositories:

• concision: This crate is a machine learning SDK for building efficient neural networks
• rshyper: A crate for creating, visualizing, analyzing, and otherwise manipulating hyper-graphs.
• rstm: A crate for building finite state machines and Turing machines
• rstmt: This crates was developed to experiment with music theory, particularly looking into the Neo-Riemannian Theory (i.e. triads, the tonnetz, and LPR transformations).

• shepherd - A self-contained, all-in-one execution and governance plugin enabling a sense of orchestral elegance with self-motivating, self-improving subagents and a custom CLI written to support various sprint operations without impeding the native harness.

• eryon: A novel, topological computing system capable of efficiently aggregating resources from registered devices into a single virtual universe.
• scsys: a collection of core modules for the scsys.io project, helping standardize the developmental process.

Follow me on:

• Twitter