Finance by training, builder by instinct. I turn manual processes into systems — building fast with AI, then learning how they work by doing.
My background is finance — audit at PwC and KPMG, fund services, and private-equity fund finance, across Jersey, London, Singapore and beyond. ACCA qualified, with an MSc in Data Science. Years in the detail of how finance operations actually work taught me where time leaks out of a business: the thirteen-step process that should be one.
More recently I've started building the fixes myself, with AI, instead of just specifying them — learning fast by doing.
Every build starts with research, then a clear scope, then the smallest system that removes the manual step. I would rather do something once and well than thirteen times by hand.
Tables over prose. Plain-language risk flags. Output that can be forwarded with zero cleanup.
I am not a career developer. I translate business needs into structured processes, build fast with AI, then learn how it works by using and fixing it.
No hype, no thought-leadership. Real examples, specific tools, what actually shipped.
I keep a running glossary of the terms I meet as I build — jargon explained in plain language, not hidden.
We map where your time and information actually go — the repeated manual steps, the lost context, the reports rebuilt from scratch each month.
One automation that removes one manual step, wired into the tools you already use. Documented so it can be handed over, not hoarded.
Schedules, alerts that only fire when something breaks, and a brief that reads the system back to you. Silence means healthy.