I lead security engineering programs that make complex, high-consequence systems safe to operate at scale.

• Security-by-design through the full lifecycle (requirements → architecture → verification → ops)
• Threat modeling + control mapping that produces decision-ready priorities
• Dev/test/prod patterns that make secure operation repeatable in complex environments

• Partner with engineering and product so security accelerates delivery instead of blocking it
• Translate risk into action leaders can prioritize (plain language, clear tradeoffs, measurable outcomes)
• Develop people and culture: mentoring, standards, and feedback loops that raise the whole team

• Define usage guardrails in sensitive environments
• Establish audit-ready patterns for identity, logging, and approvals that don’t break velocity
• Enable experimentation safely with clear constraints that match mission and policy

• Run an enterprise-style testbed to validate architectures (segmentation, identity, DNS, and observability)
• Prototype operational controls (DNS policy, logging, SIEM readiness, failover) before production equivalents
• Document decisions and tradeoffs like a real program: standards, runbooks, and repeatable patterns

• Worked on federal programs where confidentiality, integrity, and availability are truly mission-critical.
• Aligned engineering teams, security requirements, and system constraints into coherent architectures.
• Contributed to cost-aware, risk-aware decisions that respected both mission and budget.

Developing a comprehensive, living security plan for AI/ML and advanced tools in a high-sensitivity engineering environment, focused on:

• Environment separation (dev/test/prod) and zero-trust access to models, data, and tools.
• Least-privilege access, auditable workflows, and clear accountability for usage.
• Preventing data leakage while still allowing engineers to innovate.

Built a homelab to mimic enterprise operations, including:

• Virtualized infrastructure with centralized identity, role separation, and policy-based access controls
• Segmented network services with hardened name resolution, traffic isolation, and auditability
• Roadmap for security monitoring, log aggregation, and controlled administrative access.

• Segmented network domains representing management, trusted users, workstations, servers, test systems, and remote access.
• Centralized identity and access controls with role separation, policy enforcement, and auditable change paths.
• Layered name resolution and traffic control services, each with a clearly defined responsibility and failure boundary..

• Incremental introduction of centralized logging and security monitoring to support detection, triage, and post-incident analysis.
• Designing controlled administrative access paths that enable emergency response without undermining segmentation or least privilege.
• Evaluating intrusion detection and prevention placement with attention to signal quality, operational overhead, and cost.

• Direct, honest communication – no fear-mongering, no jargon for its own sake.
• Strong bias toward clarity, documentation, and repeatable processes.
• Respect for constraints: budget, politics, timelines, and legacy systems.

While my primary focus is on full-time leadership roles, I occasionally advise organizations on:

• System security engineering strategy and roadmapping.
• Secure introduction of AI/ML and LLM tooling into existing environments.
• Designing realistic homelab/test environments for internal teams.

If that sounds like a fit, reach out and we can discuss whether it makes sense.

I’m particularly interested in roles that combine:

• System security engineering with architecture and leadership.
• Responsibility for AI/ML, advanced tooling, or complex infrastructure.
• Space to build clear processes and mentor strong technical teams.