AK Engineering Field Notes Available for EU contracts · Q4 2026

AI Product Engineer / Evaluation Infrastructure

I build the instrument that tells you whether your AI actually works.

Production LLM systems with measurable behavior, graceful degradation, and deterministic fallbacks when the model gets creative.

Adrian Kujawski · 9+ years shipping in manufacturing, healthcare, and fintech · Poland / EU remote

LLM SYSTEMS RAG MCP STATISTICAL EVALS GO + PYTHON

AI Systems I Built

Three companion repos showing the eval-first pattern I ship. Same architecture, different domains.

MCP Server · Go

geoduelist-mcp

Statistical eval infrastructure for the Geo Duelist hex combat. Six tools, baselines cached by harness SHA, verdicts via z-score, anomaly detectors for defects metrics miss. First serious run flagged 48.6% of matches as broken. Human playtests never surfaced it.

MCP Go Statistical eval

RAG Chatbot · Python

adrian-agent

The RAG chatbot powering this portfolio. pgvector on my own VPS, custom retrieval, provider-swappable LLM, citations on every claim. Python 3.14, FastAPI, async end to end, strict mypy, versioned eval dataset. No LangGraph: one deterministic embed → retrieve → prompt → generate path. Ask it about my work in the modal button on this page.

RAG pgvector Python

MCP Server · Go

synthfactory-mcp

Same six-tool eval architecture as geoduelist-mcp, applied to a synthetic factory generator. Proves the pattern transfers across unrelated domains. Caught its own baseline miscalibration during acceptance testing.

MCP Pattern transfer Manufacturing

What You Get

Hiring a contractor is a bet on speed and reliability. Here's the specific bet you’re placing.

Ship LLM features you can measure

Not features that "look fine" until they don't. Statistical eval infrastructure, anomaly detectors, and z-score verdicts that catch drift before your users do. I built the same pattern for two unrelated domains to prove it transfers.

Provider-agnostic architecture from day one

Groq, Claude, OpenAI, Ollama swappable via one-line change. Rate limiting per user, structured output validation with canary tokens, curated static-response fallback for when the model is slow or down. Provider outage doesn’t become your user-facing outage.

Custom MCP tooling for your domain

Most MCP servers are API wrappers. I build them as research instruments over your domain data, with statistical guarantees. Rare skill in 2026, hard to hire for, transferable to any measurable system you own.

Selected Work

Production systems shipped before the AI-native work. Same discipline transfers: measure before you ship, degrade gracefully, own the delivery end-to-end.

Manufacturing · MES

Real-time monitoring for Poland’s biggest food factories

Senior Flutter developer on a MES app pushed to production lines that run 24/7. Live dashboards, real-time reporting, and mentoring other Flutter devs across parallel projects.

Flutter Real-time Mentoring

Healthcare · Denmark / US

HIPAA-grade mobile app across two continents

Delivered with a US corporation for the Danish healthcare market. Cross-border data compliance, real-time patient sync, and a 30% cut in app load time through targeted profiling. Team of five Flutter devs.

Flutter HIPAA GDPR Perf

E-commerce · 50k+ downloads

Checkout that converts at 95% on mobile

A Flutter e-commerce app with 50,000+ installs. Iterated the checkout flow with A/B tests until mobile completion sat at 95%. Owned state management, CI/CD, and the backend seams.

Flutter A/B testing CI/CD

Fintech · Real-time trading

Forex trading systems where milliseconds matter

High-frequency Forex execution on .NET Core with SignalR live market feeds. Financial-grade auth, sub-second latency, and end-to-end ownership on a small fullstack team.

.NET Core SignalR HFT

How We Work Together

From first email to signed contract in about a week. Three steps, zero surprises.

01

30-min discovery call

Book a slot. We’ll cover what you’re shipping, timeline, technical constraints, and whether I’m the right fit. No sales pitch, no obligation.

02

Discovery sprint (2 weeks, fixed price)

If we click, we start with a 2-week paid sprint. Output: scope, roadmap, and the first shipped feature. You walk away with real work whether you continue or not.

03

Delivery sprint or retainer

From there we either commit to a fixed-price delivery sprint (4-8 weeks, defined scope) or an ongoing retainer (3-6 months, 20-30h/week). Your choice, based on how the discovery went.

The Fine Print

Common questions before we talk.

NDA before discovery call?

Happy to sign a mutual NDA before we discuss anything technical. Send yours, or I have a template ready.

Who owns the code?

You do. Full IP transfer on delivery, standard. Written into every contract.

How do you invoice?

Monthly, in EUR. EU B2B reverse charge VAT (client handles VAT locally). Non-EU: gross invoicing. Poland-based JDG, valid VAT-EU registered.

Can I talk to a past client?

Happy to connect you with references on request after our first call. Not before - respecting their time.

How do you communicate?

Async by default - Slack, Linear, GitHub. Video calls only for kickoff and mid-sprint check-in. Written status updates weekly.

Adrian Kujawski presenting

Open for Contract Work

Have a product to ship?

I go deep, not wide. Your codebase, your domain, your roadmap; not a slot on someone’s roster. Preferred setup: 3–12 month engagements, 20–30h per week, EU timezone friendly.

Reply within 24h · EU business hours (Mon-Fri 9-17 CET)

Now booking Q4 2026 · Earlier start possible for the right fit

or reach me on LinkedIn ↗