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 customer relationships, and help drive strategic direction.

Key Accomplishments:

📌 Lead the design and development of security automation workflows.
📌 Managing the product roadmap through synthesis of partner feedback, engineering resources, and machine learning research.

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

Software Engineering | Machine Learning Engineering

In my time with MITRE, I've supported The Veteran's Benefits Administration, the United States Marine Corps, and Intelligence Community as an engineer and leader. I've learned first-hand the importance of building a strong understanding of customer needs, clear communication, and strategic planning. Leading the development of software prototypes allowed me to craft a product through the full development lifecycle, from roadmapping to ticketing to delivery and every step in between.

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

Product Lead | 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 analytics tool.
📌 Led a team of four (3 engineers, 1 data scientist) to develop novel offensive cyber planning capabilities and data management solutions.
📌 Built closed-source AI-ML enabled cyber posture analysis capabilities deployed on AWS.