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 recently earned my MS in Computer Science with my thesis titled "Dynamic Structure Adaptation for Communities of Learning Machines". In my work, I 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 the Johns Hopkins University Applied Physics Laboratory, where I work on machine learning 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
awkandbashfor task automation and prototyping data processing - NixOS and
nixpackage manager for fully reproducible deployment and declarative system management