Where I am now — and where I want to go next

My career so far has given me experience across several layers of the commercial and operational system:

• marketplace infrastructure and seller operations;
• regional logistics and fulfilment networks;
• consumer product and user research;
• digital retail, UX, and omnichannel experiences;
• forecasting, cost, capacity, and network planning at Amazon scale.

The next stage is not a departure from that experience. It is an extension of it.

I want to explore what happens when experienced operators can also use coding assistants, agents, and lightweight software development to build the tools they need themselves.

That includes questions such as:

• How can operational knowledge be translated into reusable analysis logic?
• How can agents investigate a problem without losing context or human oversight?
• How can coding assistants help non-engineering operators move from an idea to a working internal tool?
• How should teams divide work between analysis, interpretation, strategy, and execution?
• How can AI improve decision-making without creating false confidence or removing accountability?
• What does an effective AI-native operating model look like inside a large organisation?

My direction is toward work that sits between domain expertise, operations, product thinking, and technical execution.

Not AI as a separate specialism, but AI as a new layer of operating capability.