CAPABILITIES / CONNECTED THINKING
From complex operations
to intelligent systems.
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 studyFrom operating context to technical decisions.
My background spans operational risk, safety systems, assurance, and technical program leadership across energy, mining, automation, aviation, and complex industrial operations.
I’m extending that perspective into AI-enabled engineering, autonomous systems, digital twins, and predictive analytics through independent technical projects.
Systems thinking
Understand dependencies, interfaces, failure paths, and the consequences of change.
Program leadership
Connect technical exploration to operating context and a useful decision.
Safety & assurance
Ask what evidence supports a claim, where confidence comes from, and where it ends.
AI-assisted development
Use modern development tools to move from a domain problem to an inspectable prototype.
EXECUTIVE QUICK-REFERENCE
Portfolio Capability Matrix
A 60-second overview of what was built, how it is verified, and the operational problem each project addresses.
NORTHSTAR — A proving ground for autonomous decisions.
- What I Built
- Simulates an autonomous vehicle along a 1.65 km stylized Sea-to-Sky Highway corridor with configurable weather, road friction, curve sightlines, and hazard timing across 4 driving scenarios.
- Why It Matters & Business Application
- Autonomy safety-case education, operational design domain (ODD) boundary exploration, and reproducible scenario trade-off analysis.
- Domain Contribution & AI Role
- Scenario definition, operational safety envelope framing (sightline vs. friction stopping margins), telemetry/comparison workflow design, and AI-assisted implementation in TypeScript and Three.js.
- Verification & Evidence
- 6 automated Vitest unit & scenario verification tests (Northstar/src/sim/simulationEngine.test.ts) + TypeScript strict check
POSEIDON — Making mission assurance observable.
- What I Built
- Simulates an autonomous underwater vehicle (AUV) subsea inspection workstation across 7 operational views, 47 synthetic sensors, multi-sensor fusion with confidence bounds, and 7 injectable fault scenarios.
- Why It Matters & Business Application
- Subsea robotics command-and-control concept evaluation, fault-response training, and autonomous mission-assurance interface design.
- Domain Contribution & AI Role
- Mission-assurance architecture, separation of ground-truth state from FusedEstimate<T> displays, provenance labeling discipline, hazard/control register linking, and AI-assisted React/TypeScript development.
- Verification & Evidence
- 56 automated Vitest unit & integration tests across 19 test files (POSEIDON/tests/) + production Vite build check
DRILL SENTINEL — Drilling evidence, with the context intact.
- What I Built
- Replays 3,429 time-aligned historical Volve drilling observations (23 Aug 2013, Well 15/9-F-1 A), pairs them with SHA-256-verified statistical departure indicators, links findings to 4 illustrative bowties and 6 critical controls, and provides an isolated hydraulic/ROP what-if simulator.
- Why It Matters & Business Application
- Drilling surveillance review, post-interval engineering investigation, critical-control readiness auditing, and human-in-the-loop operational decision support.
- Domain Contribution & AI Role
- Operational risk and drilling-assurance framing, separation of measured evidence from hypothetical what-if branches, critical-control verification structure (CC-01 to CC-06), and AI-assisted full-stack prototyping across Python and TypeScript.
- Verification & Evidence
- 11 frontend scientific-logic tests (npm run test:ui) + 130 Python pytest checks & 21 browser workflow checks in retained source
RIPPLE — See the consequences of engineering change.
- What I Built
- Combines deterministic breadth-first dependency propagation across a 205-artifact satellite baseline with cached multi-discipline AI review synthesis, preserved reviewer dissent, and human-gated approval workflows.
- Why It Matters & Business Application
- Engineering Change Board (ECB) impact triage, configuration management traceability, and safety/qualification waiver governance.
- Domain Contribution & AI Role
- Change-readiness and assurance workflow design, dissent-preservation model, human authority gating rules, and AI-assisted full-stack prototype architecture.
- Verification & Evidence
- Read-only SQLite baseline inspection (205 artifacts, 100 relationships, 77 findings, 4 dissent records) + browser BFS parity verification
AV / CITY — Interrogate the evidence behind autonomy.
- What I Built
- Presents 259 historical California autonomous-vehicle collision records (2014–2020) across 4 analytical workspaces, 9 interactive filter dimensions, SVG geographic maps, and record-level source locators.
- Why It Matters & Business Application
- Regulatory & safety-data intelligence, incident-reporting quality audits, and executive risk communication.
- Domain Contribution & AI Role
- Analytical framing, exposure-denominator audit logic, geographic and injury-field qualification structure, and standalone zero-backend dashboard packaging.
- Verification & Evidence
- Byte-for-byte SHA-256 integrity check of supplied 4,447,007-byte standalone export + structural parser & secret scan
SYSTEMS STUDY — Connecting the whole industrial system.
- What I Built
- Structures an 18-chapter mine-to-port industrial feasibility and assurance study spanning resource planning, high-voltage power, ore processing, rail/port logistics, critical controls, safety case, reliability, and board governance.
- Why It Matters & Business Application
- Capital project stage-gate assurance, operational readiness review (ORR), and cross-disciplinary systems integration.
- Domain Contribution & AI Role
- Multidisciplinary program structure across 18 technical and governance chapters, critical-control and safety-case framing, and strict confidentiality/publication governance.
- Verification & Evidence
- Source-directory inventory audit & publication-boundary scan (docs/PROJECT-INVENTORY.md)
THE NEXT CONVERSATION
Let’s work on
what comes next.
Technical programs. Systems assurance. Intelligent technology.
Complex problems with a practical purpose.