Embed an AI engineer in your team — shipping in your own production environment.

It's the forward deployed engineer (FDE) model: instead of advising from the outside, I embed in your team and ship production software inside your own environment. Think of it as a senior AI engineer on loan — in your repo, your CI, and your cloud — who owns delivery and then hands it off.

Advisory is a targeted sprint that ends in a prototype or decision memo. Transformation rewires whole processes and the org around them. Forward deployment is about where the work happens: deep inside your team and infrastructure, building and operating systems hands-on rather than from the outside.

Remote-first, with on-site weeks when proximity is worth it — kickoff, hard integration work, or training your team. I'm based in Warsaw, Poland and travel within the EU readily, further with notice.

No. You get one senior operator who owns the outcome, not a rotating bench or a staffing contract. When specialised help is genuinely needed (design, niche data engineering) I bring a trusted partner in — and you stay accountable to one person.

I work under NDA by default and follow your access policy — least-privilege credentials, your devices or VDI if required, deploys into your VPC so data never leaves your perimeter. I invoice as a registered EU entity — NIP and VAT on the contract — and sign DPAs.

Usually 4–12 weeks of focused embedded work, sometimes a longer fractional arrangement (a couple of days a week). The goal is always to make myself unnecessary: working systems plus an internal owner who can carry them.