I started programming on calculators with TI-BASIC back in high school, and I've been addicted ever since. Outside of my studies, I'm an avid cyclist, musician, linux enthusiast.

Prior to college, I was an active competitor in the Rubik's Cube speedsolving community. During the years when I was actively competing, my highlights included a North American Record, 90 podium finishes, and a top rank of 12th globally for the 3x3 Rubik's Cube.

I earned my MS in Computer Science with my thesis titled "Dynamic Structure Adaptation for Communities of Learning Machines". My research investigated knowledge propagation in networked learning systems, and developed several dynamic optimization methods to accelerate the average learning rate of agents in a network.

Now, I'm a Software Engineer at Anduril Industries, where I'm building out infrastructure for distributed networking, fleet management, and high-fidelity simulation for robotic mission autonomy at scale. Previously, my work at the Johns Hopkins University Applied Physics Laboratory included ML research for automated biological threat assessment and full stack software engineering with Angular, Java, and Kotlin.

Some of the tools I've used include:

• Python with Pandas, Scikit-Learn, Tensorflow, and Keras to design, train, and evaluate machine learning models to solve research problems
• Svelte, Angular, Vue for front end development
• Node.js, FastAPI, Python Flask for backend development
• Terraform, Ansible, and Nix for declarative cloud resource management
• UNIX scripting with awk and bash for task automation and prototyping data processing
• NixOS and nix package manager for fully reproducible deployment and declarative system management