Experience

Wraithwatch

Security Engineering | Machine Learning Engineering

Wraithwatch is a cybersecurity startup building the next generation of AI/ML-informed cyber defense. As an early member of the team, I've had the opportunity to build the product, own infrastructure management, and develop customer relationships.

Key Accomplishments:

📌 Lead the design, development, and implementation of resilient infrastructure, decreasing product downtime by over 8 times.
📌 Developed core backend services, allowing the product to scale from hundreds to millions of entities under analysis.

Microsoft

Software Engineering | Engineering Operations

As a member of the developer platform team, I designed, built and accelerated shared release and observability tooling for the Microsoft Defender ecosystem.

Key Accomplishments:

📌 Scaled and optimized k8s cluster topology and configuration to increase microservice reliability.
📌 Decreased time-to-release across dedicated cloud environments by a factor of four through automated configuration and service validation.
📌 Led development and evaluation of medium- and long-term forecasting models for cloud storage and compute demand to aid in long-term strategic planning.
📌 Developed automated monitoring and observability pipelines to capture and report cross-service health and availability.

The MITRE Corporation

Machine Learning Engineering | Data Science

Supported The Veteran's Benefits Administration, the United States Marine Corps, and Intelligence Community as an engineer and consultant, delivering deep technical analyses in support of intelligence automation.

Key Accomplishments:

📌 Developed prototype AI/ML-informed quality assurance tools for Public-sector Data Scientists which scale to hundreds of millions of transactions.
📌 Doubled the frequency of cross-organization engagements through agile project management and customer-centric design.
📌 Advised Public-sector institutions on the application of open-source AI/ML tools and models in signal processing and data analysis.

CALDERA: Automated Adversary Emulation

Engineering Manager

CALDERA is an open-source framework for automated adversary emulation. It offers a powerful combination of atomic abilities, automated attack planning, and stealth-focused C2 capabilities to make cyber risk analysis accessible. CALDERA is used both by the open source community and a range of Government, DoD, IC, and university sponsors. Building experience as a leader helped me to understand the importance of effective management in successful product development. In planning the future of CALDERA, I learned effective product management in the context of competing customer interests and priorities.

Key Accomplishments:

📌 Product lead for CALDERA's cyber ontological mapping capability, interfaced with a range of DoD sponsors to ensure wide interoperability and wider use of CALDERA as a cyber analytic tool.
📌 Led a team of four (3 engineers, 1 data scientist) to develop novel offensive cyber planning capabilities and data management solutions, resulting in a software patent and new opportunities for Government partnership.
📌 Built closed-source AI-ML enabled cyber posture analysis capabilities deployed on AWS.