Lead engineer at Buildaible, an AI-focused startup. Working closley with the founders to build the product from the ground up. I built out the infrastructure using managed Kubernetes (K8s) and ensured deployment was smooth with GitHub actions and ArgoCD (and other conventional CI/CD tools). I designed the backend and initial frontend of the platform, using Django and NextJS.

The team eventually grew to 5+ engineers, so we explored a strong ownership model, allowing engineers to own end-to-end delivery, resulting in significantly faster iteration and feature shipping. The core of my day-to-day is building the product (designing and programming).

I'm an independent contributor with Polyad Decision Sciences LLC., a Virginia-based company focusing on solving hard problems.

I work closly with the founder, Dr. Chris Garcia, to design intuitive software that lets users leverage complex algorithms developed by the data science team. Unique challenges included deploying models and managing platform migrations.

While at Synctivate I got to work on countless interesting projects. It was a great learning oportunity, as each client and project had unique challenges requiring different tools. I also met many great people and enjoyed my time there. Synctivate is a place where I managed to build a much stronger understanding of Python.

I graduated with a Bachelors in Computer Science, from the University of Mary Washington. During my time there, I was VP of the ACM club and won 1st place in the annual Hackathon, sponsored by the CS department.

I also contributed to undergraduate research on agent-based opinion dynamics, working to model how social network density and agent openness drive societal polarization. In collaboration with Professor Stephen Davies and peers, this work produced a co-authored conference paper presented at the 2021 Computational Social Science Society of the Americas conference.