AI engineer and team lead with 10 years of production work.
I build and lead AI Engineering teams — hiring, structure, career paths, on-call, code review, mentoring. I work directly with product, compliance and legal.
I design Model Context Protocol servers for production — with auth, audit log, idempotency, backpressure. I treat MCP as distributed-systems engineering, not a demo.
I build automated bookkeeping systems (AutoX) — OCR + NLP + LLM turning invoices into ready-to-post accounting entries at scale.
I ship AI decision assistants — like the PKD AI classifier matching a Polish business activity code from a free-text company description. Assistant, not a black box.
I ship LLMs into regulated environments — fintech, trading, financial services. Every layer goes through Compliance and Legal.
I build predictive models, scoring, churn analysis with measurable P&L impact. Classical ML still wins 80% of cases.
What I'm good at
Background and community
AGH alumnus (Electrical Engineering), member of Mensa. Regularly read NeurIPS, ICML, ACL papers and attend conferences.
- Applied ML Days, Lausanne — 2026
- Applied ML Days, Lausanne — 2025
- Applied ML Days, Lausanne — 2022
- NeurIPS — 2021
- Applied ML Days, Lausanne — 2020
- PyData, Warsaw — 2019
Outside work — sailing, snowboarding, squash, Asian cooking, fantasy, RPGs. The best AI ideas usually arrive somewhere between the slope and the harbour. More personal: czyzewskim.pl (Polish only).