Shelley Nason

Kudelski's MDR team used an internal-facing web application to benchmark their threat detection capabilities against the MITRE ATT&CK framework. It provides a variety of visualizations and filters to help identify detection gaps and robust search capabilities to facilitate research and development of new detections.

I participated in the planning and design from the project's start, and I architected and built most of the app's services and front end. Kudelski was developing its own Kubernetes-based DevOps platform at the time, which allowed me to use a microservices architecture that included a collection of Java and Node.js services, variously attached to PostgreSQL, Elasticsearch, and Redis containers for data and fronted by a React/TypeScript UI.

A SaaS web application for CISOs to assess, manage, and report on their company's cybersecurity program. It was built with Java, SQL, and React/Redux.

I joined the project immediately after the completion of the MVP and was the lead developer after that. I wrote the functional specifications and most of the code for many of the modules described in the linked website, specifically initiative planning, operational metrics, and board communication. My proudest project accomplishment was finding a relatively painless way to export slides designed in the browser by the user into a PowerPoint deck for board presentations.

A research project in AI and ML.

As part of my graduate school research, I built a version of the Soar cognitive architecture that incorporated a new reinforcement learning mechanism. This work was published in the journal Cognitive Systems Research.