I work inside your rituals — standups, code review, on-call — with on-site weeks when proximity moves things faster than a call.
// FORWARD DEPLOYMENT · WARSAW, PL
Embed an AI engineer in your team — shipping in your own production environment.
Forward deployed engineering, not slide decks: I join your Slack, your repo, and your CI, then build and deploy AI systems straight into your cloud or VPC. One accountable operator working shoulder-to-shoulder with your team — leaving behind runbooks, evals, and an in-house owner.
What you walk away with.
Deploys land in your cloud, VPC, and pipelines — not a sandbox you can't keep. Your data never leaves your perimeter.
Every system ships with docs, evals, and a designated internal owner trained to run and extend it after I leave.
Not a staffing agency or a rotating bench. You get one senior engineer who owns the outcome end-to-end.
I don't pitch AI from a slide deck.
SV Lab runs three live AI products in production today, on top of a 12-year track record of shipping internet products end-to-end. Below: the work most relevant to this engagement.
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How it works.
- 01 · WEEK 1
Embed & access
I onboard like a teammate: access to repo, CI, data, and tooling, plus a short security and environment review. We agree on the first thing to ship and how it reaches production.
- 02 · WEEKS 2–6
Ship in production
I build AI systems — agents, copilots, data pipelines, internal tools — and deploy them into your own infrastructure, with evals, guardrails, and observability wired in from day one.
- 03 · ONGOING
Transfer & sustain
I pair with your engineers, write the runbooks, and hand ownership to an internal owner. The systems keep running and improving on your stack after the engagement ends.
Common questions.
What is forward deployment exactly?
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.
How is this different from advisory or transformation?
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.
On-site or remote?
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.
Do you bring a team?
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.
What about security and access to our systems?
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 5223265821 / VAT PL5223265821) and sign DPAs.
How long is a typical engagement?
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.
// LET'S TALK
Ready to put AI to work?
One email and we're on a call within a week. I read every message and reply within one business day.