PROBLEM SOLVER & SOLUTION ARCHITECT · BUILDING DAILY WITH AI
I solve complex organizational and technical problems. Over the past twenty-five years, I have untangled high-stakes operations and architected enterprise solutions across global aviation, maritime logistics, and shared services—pairing institutional judgment with hands-on software, applied AI, and open European standards.
Solution Architecture
25 years untangling complex operations & enterprise systems
Working Instruments
Structured AI workflows, MCP guardrails & live browser tools
NEN & CEN-CENELEC
Open-source ODGS protocol (GitHub / DOI) & EU AI Act research
A conversational overview tracing twenty-five years of problem solving across frontline operations, global aviation, enterprise solution architecture, and applied AI.
How frontline operations, aviation scale, and enterprise architecture led to applied AI building and open standards.
“Language models are probabilistic; business logic and software boundaries should remain deterministic.”
AI amplifies whatever foundation it touches. Guided by domain experience and clear boundaries, it turns months of specification into working software. Here are the four workflows I build and refine daily.
Language models are probabilistic; business logic and software boundaries should be deterministic. In my daily engineering workflow, I separate the two: written specifications define the problem and constraints, AI agents assist with synthesis and exploration, and deterministic Python or TypeScript scripts handle validation and execution.
Problem framing, architectural boundaries, domain edge cases & review
Drafting specifications, parallel code synthesis, test generation & rapid UI prototyping
01 · Specification: Define domain constraints, inputs & invariants in plain Markdown
02 · Exploration: Use coding and reasoning models to synthesize candidate implementations
03 · Verification: Run deterministic schema checks, unit tests & static builds
● Outcome: Working browser instruments and prototypes built with clarity and discipline.
Select any stage below to explore how 25 years of frontline operations, global infrastructure programs, enterprise solution architecture, and applied AI engineering compounded into a unified body of work.
High-friction frontline processes & manual cross-border handoffs
Repeatable shared-service architectures across 13 APAC markets & UK operations
Before architecting enterprise systems and AI workflows, I learned how businesses run on the ground floor—rising from frontline operations to lead quality re-engineering, managing multi-country British Telecom and Cisco shared-service transitions across the UK and Asia-Pacific, and founding my own brick-and-mortar venture.
Interactive macroeconomic briefings, open-source protocols on GitHub, and working prototypes built as architectural ideas took shape.
Instead of static PDFs, explore interactive quantitative briefings where every slider recalculates fiscal, labor, and enterprise outcomes in real time against primary public datasets (CBS Statline, ILO WESO, OECD, IMF)—covering Dutch sovereign fiscal exposure, stealth RTO attrition, the Proxy Problem, and global resource choke-points.
Deterministic Runtime Validation & Cryptographic Provenance Architecture
Reference architecture decoupling normative business definitions from physical compute pipelines, compiling governance rules into verifiable runtime interceptors aligned with ISO/IEC 38505-1 and ISO/IEC 25012.
Algorithmic Provenance & Deterministic Enforcement Under the EU AI Act
Investigates why probabilistic post-hoc audit logs fail regulatory evidentiary thresholds under the EU AI Act and DORA, and formalizes synchronous pre-execution validation as a deterministic compliance shield.
With AI, building working software has become possible whenever you can architect, design, and figure out the underlying concepts. These applications and fun explorations were built as ideas formed in my head and are shared as-is rather than actively maintained commercial products.
Transforms business pain points into board-ready project charters, RACI governance matrices, and Monte Carlo ROI simulations in minutes.
Interactive D3 and Chart.js simulations modeling Dutch sovereign fiscal exposure, AI labour displacement cascades, energy choke-points, central-bank gold flows, and battery mineral loops.
Real-time procurement and market concentration intelligence across EU TED Europa and USASpending public contracts—mapping buyer-supplier dominance and single-bid anomalies.
Operational Responsible AI & ethical risk diagnostics — evaluating AI initiatives before code is written, not auditing failure after deployment.
An interactive diagnostic that scores whether a corporate initiative is delivering operational reality or performing organizational theater.
An interactive right-sizing instrument to break corporate growth and platform addiction — defining what 'enough' looks like before buying 'more'.
Long-form field notes with conceptual editorial illustrations and companion tools
Why 25 years of corporate systems optimized for the appearance of progress are now colliding with AI — and how to re-architect the building itself.
One-third of Dutch government revenue (€142B/yr) flows directly from employment contributions. What happens when 3.33 million white-collar roles enter the AI automation zone?
AI amplifies whatever process it's bolted onto, broken or not. How 25 years of domain pattern recognition guides AI to compress six-month cycles into hours.
Why blanket return-to-office mandates function as quiet layoffs, and what that costs the workforce that stays.
Most deadline panic is manufactured, not real. A field guide to telling the difference — and shielding teams from performative churn.
A field guide to organizations that reward the appearance of progress over the substance of it.
Whether you are working on European data and AI standards, leading an enterprise transformation, or organizing a conference or executive seminar, I welcome thoughtful conversation.
For national and European standardization peers, dataspace architects, and researchers working on runtime data governance, MCP guardrails, and verifiable compliance evidence.
For executive teams and global programmes looking to untangle stalled transformations, design resilient enterprise and AI architectures, and move from slideware to working systems.
For industry conferences, university guest lectures, and leadership offsites exploring *Human Wisdom as AI Compass*, *The Proxy Problem*, and *Reality-Based Architecture*.
