A SCROLL BACK
How did we get here?
Seventy years of AI, told through the aesthetics of the web — from the 1956 terminal, through GeoCities, into today. A detour from the pitch.
I help regulated businesses deploy AI that actually ships — explainable models, audit-ready documentation, and EU AI Act compliance built in from day one. Defence, pharma, energy, automotive.
Let's TalkYou've seen it. A model works in the notebook. The demo wows the room. Then compliance, legal, and risk ask one question — "how did it decide that?" — and the project stalls for six months, or dies. Most AI projects die in that meeting. Yours doesn't have to.
Your systems are designed for EU AI Act compliance from day one, not retrofitted three months before review. Auditors get documentation they can read. You get approval the first time, not the third.
Architectures built to be transparent from the ground up, not patched with heatmaps after the fact. When someone asks "why did it decide that?", you have a real, traceable answer — the kind that holds up in a meeting with legal.
Anomaly detection, adaptive automation, and quality systems that ship to real factories and stay running. Low-latency, on-premise where it has to be, built for environments where downtime has a cost per minute.
Model lineage, policy enforcement, audit logs. Your team can answer "where is this model from and who approved it?" in thirty seconds — not in a two-week fire drill when the regulator shows up.
Most of what I've built isn't public. Here are a few of the industries it's lived inside.
Critical infrastructure on oil platforms. Software faults aren't measured in bug reports — they're measured in lives, budgets, and environmental impact. The systems stayed up.
Tier-one automotive suppliers. Production lines where quality and uptime are in the contract. Delivered on both.
Governance tooling and audit trails for clients whose AI has to survive regulatory review. It does.
Four projects I'm building under Cognitive Tech. Each one started because a client needed it and nothing on the market solved it the way it needed to be solved.
AI governance and orchestration for regulated industries. The infrastructure that turns AI experiments into production systems auditors will sign off on.
Civic transparency platform for Romania. Government data made readable — for citizens who want to understand it and journalists who need to cite it.
Real-time collaboration and communication infrastructure. Low-latency, end-to-end, built for teams that can't rely on consumer tools.
Automated aggregation and broadcast of AI development news. A radio station that reads the frontier — runs unattended, twenty-four hours a day.
Founder & Principal Engineer — Cognitive Tech Projects
Over two decades of engineering experience delivering mission-critical software in environments where failure has material consequences — offshore energy operations, tier-one automotive manufacturing, and AGI research at a global supplier laboratory.
Specialised in explainable AI, neural-symbolic architectures, energy-based models, and governance systems designed for EU AI Act compliance. Holds three patents in AI governance and pattern recognition. Published author and regular speaker on explainable AI and regulatory compliance, based in the European Union and working globally.
Client engagements are direct and hands-on. You work with one principal engineer backed by twenty years of domain context — not a consultancy team. I write the code, ship the system, and produce the documentation your audit committee and regulators require to approve deployment.
Seventy years of AI, told through the aesthetics of the web — from the 1956 terminal, through GeoCities, into today. A detour from the pitch.
For organisations deploying AI in regulated environments — defence, pharma, energy, automotive, and civic infrastructure. Whether you are preparing for regulatory review, closing documentation gaps, or moving a proof-of-concept into production, I welcome a direct conversation about your project.
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