Services
AI engineering, as contract work.
I work as a senior engineer embedded in your problem — not a vendor shipping a demo. Here's what that looks like in practice.
Ship agents into production
Take an agent or multi-agent workflow from a promising prototype to something that runs unattended — with the guardrails, evals, observability and failure handling that separate a demo from a system.
- Agent / multi-agent architecture and tool design
- Evals and regression checks so changes don't silently degrade
- Retries, timeouts, fallbacks and human-in-the-loop escape hatches
- Logging, tracing and cost/latency observability
LLM automation that saves real time
Identify the repetitive, judgement-light work in your business and automate it reliably with LLMs — n8n, queues, scheduled jobs — so it keeps running without supervision.
- Workflow mapping and a clear automate-vs-leave-it call
- Robust pipelines (n8n / custom) with structured outputs
- Quality gates and alerting when confidence is low
- Hand-off docs so your team can own it
AI integration into existing products
Add RAG, tool-calling, MCP servers or assistant features to an existing codebase — built like production software, not bolted on.
- RAG pipelines with sensible chunking, retrieval and grounding
- Custom MCP servers exposed as secure, scoped HTTPS services
- Tool-calling integrations against your real APIs and data
- Clean, typed code that fits your stack and ships behind your auth
AI system audits & reliability reviews
Already have something live (or nearly)? I review the architecture, prompts, evals, cost and failure modes and give you a prioritised plan to make it dependable.
- Architecture and prompt/flow review
- Reliability, cost and latency findings
- Security & data-handling review of the AI surface
- A prioritised, plain-English action list
How I work
Engineering-first, honest about scope
I'm an AI application/agent engineer — agents, RAG, MCP, tool-calling, orchestration and evals. I don't train or fine-tune base models, and I'll say so up front. If a job needs model-training expertise, I'll tell you. What you get from me is production-grade application engineering pointed at AI.
Not sure which of these you need?
Tell me the problem in plain terms and I'll tell you honestly whether — and how — AI is the right tool for it.