Enterprise Architecture · Cybersecurity · Cloud · Identity · AI

Secure systems, built with depth.

I work across enterprise architecture, cybersecurity, cloud, identity, and applied AI, building systems that are resilient, operable, and grounded in implementation.

My background spans infrastructure, networking, cloud platforms, identity, detection, and the operating models that help teams build and defend complex environments effectively.

Architecture shaped by implementation, not abstraction.

The strongest throughline in my work is connecting strategy to systems that are actually built, operated, and depended on — from secure infrastructure and ephemeral access patterns to detection, identity visibility, internal platforms, and modern security workflows.

01

Secure infrastructure modernization

Led the design and implementation of a zero-trust-oriented network and infrastructure architecture for a major enterprise environment, modernizing core controls and creating a more resilient security foundation.

The result was a stronger operating model built on architecture principles that hold up in physical, operational, and policy-aligned environments.

02

Ephemeral access engineering

Designed and deployed region-aware ephemeral access patterns using AWS, Python, WireGuard, and event-driven components, giving secure remote connectivity a more dynamic and controlled lifecycle.

03

Detection pipelines at scale

Engineered centralized analytics and detection workflows that aggregated telemetry from more than a thousand endpoints, improving visibility, automation, and the overall signal quality available to defenders.

04

Federated identity correlation

Built approaches for correlating authentication and audit data across federated identity environments, making it possible to support machine-assisted risk analysis and more meaningful visibility into identity behavior.

It connects identity, analytics, distributed systems, and practical AI in a way that reflects modern security and operations work.

05

Internal platform enablement

Established secure internal development foundations and software-factory-style capabilities that supported rapid prototyping, internal R&D, infrastructure-as-code, and more disciplined technical experimentation.

06

Security leadership through systems thinking

Worked across architecture, governance, cloud, security operations, and technical leadership to raise maturity across complex environments, including standards alignment, secure design guidance, and operational decision support.

Technical breadth, execution depth, and a grounded view of applied AI.

Architectural breadth

A foundation in systems and networking, expanded through cloud, identity, enterprise security, and distributed systems, creates a broader architecture perspective than tool-specific security roles.

Execution depth

The work is rooted in real implementation: telemetry pipelines, secure environments, access models, internal platforms, and repeatable operating patterns that were actually built and used.

Applied AI

AI shows up here as a practical extension of modern security and identity work — useful when grounded in data, operational needs, and systems that can support it.

Zero Trust Architecture AWS / GovCloud Identity & Access Detection Engineering Threat Intelligence Secure Platform Design AI-Enabled Security Workflows

Development across infrastructure, security, and architecture.

Infrastructure foundations

Systems, networking, implementation depth, and operational problem solving.

Enterprise security architecture

Cloud, governance, threat intelligence, hybrid environments, and secure design patterns.

Architecture and leadership

Broader ownership across enterprise strategy, mission systems, internal enablement, and innovation.

Applied AI and cybersecurity

Identity visibility, cloud resilience, machine-assisted workflows, and secure operating models.