Business thinking, implemented
I enjoy finding the system hidden inside a messy workflow.
My background is closer to business operations than traditional software engineering. That is the point of view I bring to every internal tool.
About me
I work where business operations, data and software meet.
I understand the friction of real SME workflows: accounting exports that lag behind operations, inventory codes that do not align, receivables that are reviewed monthly, and reporting processes held together by repeated manual checks.
I use AI as a force multiplier. Codex and ChatGPT help me implement, debug and explore quickly. I remain responsible for the workflow, business definitions, validation, priorities and whether the result is actually useful.
That combination lets me move from an operational problem to a working internal system without pretending that technology is the difficult part every time.
My thinking
Technology changes. Business workflows remain.
A dashboard is only useful when it reflects how a business recognizes revenue, owns inventory, collects debt and responds to exceptions. That is why I start with decisions and rules before implementation.
Working principles
How I approach a business system
Start with the decision
What action should become easier, faster or more reliable after the system exists?
Map the workflow
Understand sources, owners, timing, exceptions and where the process currently breaks.
Define business truth
Choose identifiers and authoritative sources before combining or visualizing data.
Prototype with real data
Edge cases appear quickly when the system is tested against actual operational exports.
Use AI deliberately
Delegate implementation speed, not responsibility for requirements or validation.
Iterate in the workflow
The best requirements often appear only after a useful first version is used daily.
Current focus
Building a long-term practice in business automation
The goal is larger than a job-title portfolio. I am building a body of work around ERP reporting, internal operations, BI and AI-assisted delivery that can support employment, consulting and future products.