Interpretable & Symbolic AI
Built and evaluated interpretable multi-task symbolic regression models and neuro-symbolic research frameworks that keep model reasoning legible.
Houston, Texas
AI/ML Researcher & Engineer · Full-Stack Software Engineer
M.S. Electrical & Computer Engineering graduate with eight years of experience — building research-driven machine learning systems on a foundation of full-stack software engineering. I work at the intersection of interpretable AI, neural rendering, and neuro-symbolic research, with a record of shipping scalable production systems.
What I work on
Built and evaluated interpretable multi-task symbolic regression models and neuro-symbolic research frameworks that keep model reasoning legible.
Designed neural rendering optimization systems and 3D reconstruction pipelines, advancing representation learning and computer vision research.
Eight years architecting scalable enterprise applications, REST APIs, and microservices across banking, energy, and consulting.
Selected work
Open-source builds and side projects. More are on the way — follow along on GitHub.
An offline desktop prompt manager — keep one master prompt and generate tailored variants for Midjourney, Stable Diffusion, and more, without anything leaving your machine.
Additional tools and web apps are in the works and will be published here as they ship.
Browse GitHub ↗Experience
Prairie View A&M University · Houston, TX
Itlize Global LLC · Houston, TX
Constellation · Houston, TX
PlainsCapital Bank · Houston, TX
Toolbox
Education
M.S. Electrical & Computer Engineering
B.S. Computer Science
A.S. Computer & Information Sciences