Economic Market Designer turned AI Product Engineer. PhD (summa cum laude) in market design from TU Munich, 4 A*-journal publications, 10+ years of making complex, data-driven decisions across research, startups, and industry. Now building AI-native software products end-to-end.
I work at the intersection of product thinking and AI engineering: shaping what to build, and shipping it. Recently completed the AI Software Engineering Bootcamp at Digitale Leute School.
- Expliq AI: Automation intelligence for no/low-code workflows (e.g. n8n). Governance dashboard for impact, ownership, and risk exposure across automation platforms. Live MVP at expliq-mvp.vercel.app.
- APIQ: API Intelligence platform. LLM-mediated comprehension, scoring, and one-click improvement of OpenAPI specs. Live MVP at apiq-mvp.vercel.app.
| Project | What it shows |
|---|---|
| Retail Customer Analysis (showcase) | End-to-end retail analytics in R + Python: market basket, RFM, CLV, survival, forecasting, embeddings, causal uplift. Live site. |
| Reap (showcase) | Instant payout service for private sellers on second-hand platforms (e.g. Vinted). End-to-end product design. Stack: Figma, Zapier. |
| Procurement Auction (archived) | Smart-contract prototype of a four-stage reverse procurement auction on the blockchain. Stack: Solidity. Try in Remix. |
| Send-2-Session (archived) | A no-code platform for orchestrating user-session flows across providers (Stripe, Mailchimp, Zapier). React + Firebase. |
| GombaZ (archived) | ML-powered service-orchestration platform learning when to fire each API call from observed data instead of running on a fixed schedule. |
TypeScript · Next.js · React · Python · R · Solidity · PostgreSQL · Prisma · Tailwind · LLM tooling
Per Paulsen CV: Markdown source and print-ready PDF.
LinkedIn is my primary channel for opportunities and connections.