insight → workflow → software.
Start with analysis. Automate what works. Build only when needed.
From raw operational data to the numbers that actually change how a decision gets made.
Triggered, connected, and delivered — without manual steps getting in the way.
Purpose-built applications designed around the people who have to use them every day.
Analysis and tools for semiconductor manufacturing planning — from capacity bottlenecks and tool requirements to demand scenarios and investment calls.
View project →Automated polygon placement for semiconductor fab floor planning. Handles varied tool footprints, configurable placement rules, and full auditability — so planners can understand, validate, and adjust the output without a data scientist in the loop.
View project →A pipeline that pulls, formats, and delivers analytics reports on a fixed schedule; No manual steps, always in the right inbox.
View project →An n8n AI workflow that captures invoices from incoming email, extracts the data automatically, and routes it to a spreadsheet and team channels — no manual entry.
View project →Taking raw behavioral data, extracting patterns through SQL, and building a story around the findings — delivered as an interactive, explorable dashboard.
View project → May take 30 seconds to load.I start by understanding the environment the work will live in — the team, the constraints, the decisions it needs to support. Analysis without that context tends to miss.
A smaller, sharper deliverable that gets used beats a comprehensive one that sits on a shelf. I size the work to the decision, not to a methodology.
I deliver working analysis and tools — not decks with suggestions. The output should travel back into how the team actually works.
Drop me a note — no long intros needed. Tell me the problem and we'll figure out the rest together.