Independent AI partner

Pragmatic AI consulting for teams shipping their first LLM features

I help teams build out AI products without the heavy process. After leading AI work as a tech lead, I’m now building a small independent practice—partnering with a handful of teams to uncover the right use cases, ship useful first versions, and leave everyone confident to keep iterating.

Hands-on AI partner

From mapping workflows to launching pragmatic copilots without unnecessary process.

Technical leadership

Shipped LLM features as an AI tech lead—comfortable pairing with product, design, and engineering.

Collaborative delivery

Builds alongside internal teams, leaving useful documentation and evaluation loops behind.

Toolkit
Trusted stack in use with teams

Model partners

  • OpenAI
  • Claude (Anthropic)
  • Google Gemini

Frameworks

  • LangChain
  • Hugging Face
  • custom agentic flows

Data + delivery

  • Vector databases
  • RAG systems
  • Fine-tuning

Cloud platforms

  • AWS
  • Google Cloud
  • Azure

What clients get

Strategy ↔ Build ↔ Enable

I bring product, engineering, and delivery together. Expect someone who can dig into prompts and evals, talk roadmap with the leadership team, and leave behind documentation your engineers actually use.

Discovery

Rapid context gathering, workflow mapping, and success measures everyone can rally around.

Delivery

Pairing with your team to prototype, test, and launch something dependable before scaling.

Approach
Recent focus

Early co-pilot wins

Pairing with product squads to uncover quick workflows where AI can help immediately.

Pragmatic delivery

Designing prompts, evaluation loops, and handover guides so teams stay confident after launch.

Enable the team

Sharing lightweight playbooks and templates that help engineers and PMs keep shipping value.

Where I can help right now

No inflated case studies—just the formats that have worked across product, ops, and go-to-market teams.

Focus discovery sprint

Clarify where AI moves the needle and scope a realistic first win in two weeks or less.

Stakeholder and workflow walkthroughs
Feasibility checks across data, tooling, and compliance
Prioritised roadmap for the first 4–6 weeks

Pilot build partnership

Ship an LLM-powered workflow together with evaluation and handover baked in.

Hands-on prototyping, testing, and iteration
System design with sensible guardrails
Launch support plus lightweight observability

Team enablement sessions

Workshops to share what works (and what doesn’t) from real-world deployments.

Product and engineering pairing sessions
Prompting and evaluation playbooks
Hiring and capability-building guidance

How I work

A calm, transparent partner

I keep things lightweight: clear weekly goals, shared docs, and a running changelog so your team sees progress as it happens.

Listen first

We start with how your team works today. I join key sessions, map the workflow, and agree on a narrow problem to solve.

Prototype responsibly

We co-build scrappy experiments, measure them against the right guardrails, and only double down when the value is clear.

Level up your team

I document what we build, share the playbooks, and stay close until your team feels confident running with it.

Let’s explore your first (or next) AI win

Whether you need a second opinion on strategy or a partner to build alongside your team, I’m happy to talk. We can cover goals, constraints, and the type of collaboration that fits best.

Get in touch

Based in London and working with teams remotely across the UK and Europe.

Email

dev@devector.io

Send a note with a quick summary of what you’re exploring and I’ll reply within a day.

LinkedIn

linkedin.com/company/devector

Prefer a social intro? Drop a note on LinkedIn and share what your team is exploring.