About Me

In high school, I created my first program on a TI-83 calculator during Algebra 2; a class I struggled with because I was more interested in learning TI-BASIC than completing homework. That first attempt at programming was a simple quadratic formula calculator that crashed whenever it encountered imaginary numbers.

As my interest in coding grew, I took every programming class my school offered and eventually became the school's webmaster. Alongside this, I discovered a passion for drafting and pursued an associate degree in the field. However, during my short stint working as a mechanical designer, I realized I spent most of my time scripting to overcome the limitations of existing CAD tools, in particular AutoCAD 2004.

I'm now a CS student focused on the intersection of topics such as computational geometry, AEC (Architecture, Engineering, and Construction) automation, parallel programming, and small purpose-built AI. Some of my work revolves around building deterministic systems for the physical world. I believe that as we move towards AI-driven automation in complex physical environments, we need rigorous mathematical frameworks to ensure safety and reliability.

This experience showed me that my true passion was not just in design but in creating better tools for design. I chose to return to college at Oregon State University - Cascades to focus on becoming a programmer who can contribute to the next generation of CAD tooling.

Through projects within Spatial Automata, I explore how we can use hierarchical state machines, Tsetlin machines, spatial computing, and advanced geometry to bridge the gap between non-deterministic AI and high impact projects in the real world. My goal is to develop tools that empower designers and transform the way we approach complex problems.

I'm deeply inspired by computational, parametric, and generative design and draw influence from visionaries like Neri Oxman and Buckminster Fuller. When I'm not coding, you can find me diving into the latest developments in computational design or exploring the future of spatial interfaces.