Systems shipped
End-to-end
From messy input to a product people can operate on a normal Tuesday.
Applied AI · Workflow systems · Product engineering
I design and build AI-powered products, knowledge systems and automation that make complex work simpler.
Systems shipped
From messy input to a product people can operate on a normal Tuesday.
Focus
Products that organise dense information and make the next decision obvious.
Stack depth
Product design, AI-assisted flows, Next.js / Astro, Supabase, CMS architecture.
Selected systems
Three products that organise dense information and prove I can take a messy problem all the way to a usable system.
Designing a process-first trading journal for discretionary futures traders.
A structured trading reference wiki for Market Profile and auction-market concepts — built for session prep, not scattered PDFs.
CMS-backed real estate platform with dynamic property pages, i18n, SEO, and contact/newsletter flows.
About
I work between product design, engineering and operations — usually where the problem is still ambiguous and the workflow has not been properly defined yet.
I build AI workflows and systems for people who have too much input and not enough structure. I like messy problems — half-broken processes, too many tabs, scattered notes, and the sense there must be a better way. That is usually where I come in.
Capabilities
Not slide decks — shipped systems. Comfortable across product, AI workflow design and the engineering needed to make them real.
Product
AI systems
Engineering
How I work
I rarely start with a clean specification. I start with scattered information, repeated friction and a problem that has not been properly framed yet.
Map the real workflow — including the awkward workarounds people have learned to ignore.
Cut the problem down to the decisions, information and hand-offs that actually matter.
Ship a usable product or operating layer people can run without constant explanation.
Watch it in use, find the friction, and refine until the structure feels inevitable.