ABOUT / THE HUMAN PERSPECTIVE
Experience informs.
Curiosity builds.
THE PERSPECTIVE BEHIND THE WORK
Technology is powerful.
Context makes it useful.
I bring an operational perspective to emerging technology: how systems behave, how they fail, and what it takes to trust them.
My experience in operational risk, safety systems, assurance, and technical program leadership spans energy, mining, automation, aviation, and complex industrial operations.
Today, I’m exploring how that domain experience can combine with AI-assisted development to create useful tools for autonomous systems, engineering decisions, and industrial intelligence.
I use ChatGPT, Claude, and Google Antigravity to help conceptualize, design, prototype, and build. These projects represent an evolving practice of technical learning, engineering collaboration, and practical innovation.
AI development, made transparent.
These are AI-assisted independent projects. The supplied files do not include component-level authorship histories. Case studies describe verifiable system behavior and limitations, without assigning unsupported coding contributions or qualifications.
CAPABILITIES & EXPERIENCE
Connecting disciplines.
Seeing the whole system.
Industrial experience informs the questions.
Technical projects make the thinking visible.
Autonomous systems
Perception, simulation, and system behavior.
Explore the workAssurance & risk
Evidence, critical controls, and confidence.
Explore the workAI-assisted engineering
Traceability and engineering decision support.
Explore the workIndustrial systems
Historical operations, evidence, and technical interfaces.
Explore the workSYSTEMS & ENGINEERING METHODOLOGY
Explore My Engineering Approach
How operational risk, systems assurance, and program leadership connect with AI-assisted technical prototyping.
Problem Identification
Start from an operational question where a misleading dashboard, an unexamined change, or a degraded control could cause a real-world failure.
In DRILL SENTINEL and POSEIDON, the core problem is not drawing telemetry charts—it is preventing operators from mistaking noisy surface signals for verified barrier health.
Inspect DRILL SENTINEL case studyTHE NEXT CONVERSATION
Let’s work on
what comes next.
Technical programs. Systems assurance. Intelligent technology.
Complex problems with a practical purpose.