Deep enough to inspect the code. Broad enough to understand why it matters.

My engineering education treated a computer system as a whole rather than software as an isolated layer.

The curriculum extended from the physical and electronic foundations of computing and circuit design through machine-level programming, automata theory and compilers to data structures, databases, networks and higher-level software.

That foundation still shapes how I work. When a production system behaves unexpectedly, I am comfortable moving down through abstraction layers rather than treating the framework, database, cloud platform or infrastructure as a black box.

Later postgraduate study in economics, business and foreign trade added another layer to that engineering background: how organisations make decisions, allocate resources, manage risk and operate under commercial constraints.

Over time, those perspectives became increasingly difficult to separate in my work. Architecture affects operating cost. Reliability affects financial exposure. Technical debt affects strategic options. A software decision can become a business decision long before anyone calls it one.

Across engagements, responsibilities have repeatedly expanded from core engineering into architecture, strategic leadership and ownership of critical technical decisions as the business consequences became clear.

I still prefer to begin close to the evidence: the code, data flows, architecture, production behaviour and operational constraints. From there, the question becomes not simply whether something is technically correct, but what it means for the company and what decisions it leaves open.

Today I work independently with founders, technology leaders and investors, with particular depth in financial, trading, transaction-critical and high-volume systems.