Enterprise MBSE Adoption
Translating digital-engineering strategy into practical modeling methods, reusable architecture, and disciplined engineering workflows.
Systems Engineering · Digital Engineering · Technical Leadership
Making complex systems
visible, understandable, and actionable.
I lead the definition, architecture, integration, and verification of complex technical systems by connecting requirements, physical behavior, stakeholder needs, and program decisions into a coherent engineering framework.
TECHNICAL LEADERSHIP
Enabling organizational transformation through systems thinking, digital engineering, and enterprise capability development.
My work extends beyond the definition of individual systems. I help organizations build the methods, technical capability, and shared understanding required to make complex engineering decisions more effectively.
Workforce Capability Development
Developing engineers through structured instruction, practical application, and modeling approaches grounded in real program needs.
Technical Change Leadership
Connecting stakeholder needs, engineering practice, and organizational objectives so transformation produces usable capability rather than isolated tools.
SELECTED CONTRIBUTIONS
Technical work that created capability, addressed complex system challenges, and improved engineering decisions.
AIRCRAFT SURVIVABILITY · EO/IR · SYSTEM VERIFICATION
Common Missile Warning System Integration and Verification
Led the integration, Verification and Validation, and system-testing effort for an aircraft-survivability system, progressing from controlled infrared threat generation and automated laboratory campaigns through dynamic-motion testing, live-fire evaluation, and formal government validation.
The work combined custom-designed pulse-generation electronics and in-band infrared sources, six-axis gimbal testing against changing threat geometries, Linux-, Bash-, and Python-based automation across multiple System Integration Laboratories, and step-by-step witnessed validation that supported production approval and delivery.
Read the CMWS integration and verification storySTRATEGIC SYSTEMS · MODEL-BASED VERIFICATION
Strategic Communications Emulation
Developed a high-fidelity emulation capability that enabled verification of next-generation strategic systems against legacy communications interfaces when representative hardware was unavailable.
The work reconstructed the complete higher-authority message-processing chain—from message structure and communications-path encoding through bit-level representation and receiving-system behavior—and translated that knowledge into a Python-based interface whose outputs could be consumed by system models.
Read the strategic communications storyCYBER · GRAPH THEORY · ENTERPRISE SYSTEMS
Air Force PEO Cyber Attack-Surface Analysis
Applied graph theory to characterize the cyber attack surface created by communications dependencies across Air Force Program Executive Offices and the organizations with which they interacted.
Using Neo4j and NeoVis, modeled offices as nodes and communications relationships as edges, analyzed node centrality to identify structurally significant organizations, and simulated communications loss to determine how disruption at individual nodes affected connectivity across the larger enterprise.
Explore the graph-theory cyber analysisDIGITAL ENGINEERING · ENTERPRISE CAPABILITY
Enterprise MBSE Capability Development
Created an integrated learning architecture designed to move model-based systems engineering beyond tool instruction and establish the strategic, technical, and organizational context required for meaningful adoption.
The curriculum connected federal and military-service digital-engineering strategies to engineering practice, mission outcomes, workforce development, and the practical decisions engineers make throughout the system lifecycle.
Explore the MBSE capability workSYSTEMS ENGINEERING · GENERATIVE AI · ENGINEERING METHODS
Applying Systems Engineering Discipline to Generative AI
Developed an engineer-controlled methodology for applying generative AI to sustained technical analysis while preserving human technical authority, engineering rationale, configuration control, and continuity.
The approach treats generative AI as a fallible analytical component within a controlled multi-thread architecture, combining bounded analytical work, interactive challenge review, human adjudication, fidelity monitoring, rationale preservation, and deliberate rehydration across conversational limits.
Read the systems engineering and generative AI paperELECTRO-OPTICAL SYSTEMS · ANALYTICAL TOOLS
Low-Light Engineering Decision Support
Transformed specialized low-light performance analysis into a practical engineering capability that could be used consistently across test, design, and customer discussions.
Developed as an internal engineering analysis capability, the tool integrated low-light environmental conditions, sensor behavior, and system-performance relationships into a practical decision-support interface. After the customer saw the capability in use, its value prompted interest in formal contractual delivery.
View the low-light analysis capabilityThe examples presented here provide a representative overview of technical work, systems thinking, and capability development. The navigation pane provides a deeper view of the engineering work, enterprise contributions, and technical experience behind them.
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