Founder-CTO · Enterprise AI · Technology leadership

I turn complex enterprise workflows into production AI, and build the teams that scale it.

Co-founded and bootstrapped Jaden Data to €1M+ annual revenue, grew engineering from 0 to 10, and led AI and distributed-systems delivery for APG (a €500B+ pension fund), Bosch, KfW Bank, Boehringer Ingelheim and ING. I work from executive discovery and technical pre-sales through architecture, code, production rollout and handover.

Open to CTO and Head of AI roles · selected fractional and delivery engagements

Organisations that audit every line

These are organisations with procurement, security review and an audit trail between an idea and production. The work below went through all of it.

Clients, delivered as Co-founder & CTO of Jaden Data

Independent engagements, under my own name

Proof in numbers

€1M+
annual revenue, bootstrapped from zero
10
engineers hired and led from the first hire, across three workstreams
50+
organisations on one multi-tenant platform
99.9%
uptime at thousands of requests per second
3 months
to ISO 27001 and SOC 2 Type 2, both delivered without freezing delivery

Earlier, as a key contributor to a six-country login rollout: 1.4M accounts in three months.

What I own

From customer boardroom to production code

  1. Customer & commercial

    Discovery, executive workshops, technical pre-sales, architecture and security review. I am in the room when a buyer decides whether the technology can be trusted.

    Four procurement workflows taken from scoped use case to production at a global automotive group; a seven-PoC portfolio at a German development bank run on one spec and one evaluation template.

    See the case
  2. Architecture & delivery

    AI systems that run in somebody else's production environment — integrated, evaluated, observable, and still standing after the pilot.

    entAIngine on event-driven AWS: 50+ organisations, 99.9% uptime. A pension-letter assistant prototyped in a day and taken to an on-premises production MVP in twelve sprints.

    See the case
  3. Team & operating model

    Hiring and mentoring engineers, setting the delivery standards, owning the roadmap and the technical budget, and handing the work over cleanly.

    Engineering grown from 0 to 10 inside a bootstrapped €1M+ company; code-review and CI/CD gates; ISO 27001 and SOC 2 in about three months.

    See the case
  4. Reuse & product feedback

    What I build for one client becomes the thing that makes the next one cheaper: shared integrations, evaluation harnesses, deployment playbooks and a route back into the product roadmap.

    Reusable platform components turned a one-day prototype into a product; Testbed and Prompt Wizard came out of repeated customer needs; development-bank templates were reused across seven proofs of concept.

    See the case

How I work

The same loop, every deployment

  1. Find the workflow that matters Map the process, baseline, bottleneck, risk and economics before choosing a model.
  2. Win technical trust Lead the demos, architecture reviews, integration design and security conversations with engineering and executive stakeholders.
  3. Ship the production loop Build the smallest end-to-end system that proves business value under real data, systems and governance constraints.
  4. Make the next deployment cheaper Turn repeated patterns into shared components, standards, evaluation harnesses and product roadmap input.

Hiring, or building?

If you are filling a CTO or Head of AI role, tell me about the team and the first six months. If you have a system that has to survive real data and an audit, send me the problem.

Fractional CTO & consulting partner · open to the right permanent CTO or Head of AI role