About
My path began in engineering and grew through business analysis, delivery leadership, product building, and company founding. What I bring today is the ability to connect those perspectives in one clear decision, then own the work of making it real.
Background
Mechatronics taught me to see relationships rather than isolated parts. Work across products and companies expanded that view to include people, operations, decisions, and markets. I therefore treat a digital product as an operating system for work, not merely an interface.
Professional chapters
From leading one company and co-founding another to working directly with decision-makers, each chapter added a different responsibility and refined one way of understanding the work before building what matters.
Co-founder & Chief Executive Officer
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Chief Executive Officer
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Independent strategic practice
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Experience trajectory
The approach began close to daily work: how requests move, where decisions stall, and what teams actually need before any solution is proposed.
Unclear requirements became priorities, ownership, and understandable delivery paths, keeping the business decision and the technical work aligned.
The focus moved from one-off outputs to systems and working patterns that can be maintained, extended, and handed to other teams with confidence.
The experience now comes together in one integrated decision: what to digitize, what to automate, and where AI creates real value with understood risk.
What I bring into the room
I move fastest when there is a real operational problem to anchor the work — a process to map, a decision to improve, a dataset to govern, or a clear business goal to reach.
Where AI can improve a real decision or workflow, and what must be true for people to trust it.
What should AI support, and where should people stay in control?How disconnected work becomes a coherent digital operating model with clear ownership.
What should change first so the whole operation improves?How a service becomes a clear, useful experience for every participant.
What journey makes the value understandable and easy to use?How work moves from request to fulfilment with less friction and clearer ownership.
Where does the flow break, and what makes delivery more orderly?Principles
What is the operational or business problem? Where is the waste or friction? What decision needs improving?
I map the current process, data flow, decision points, and risks before thinking about any technology.
Do we need AI, a better system, or cleaner data? The order is built on impact, cost, and risk.
I build a solution that can be maintained, scaled, and measured, with clear documentation your team can follow.
Good fit
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