Selective · Limited to 2 engagements per quarter

I Fix Engineering Orgs That Have Stopped Moving

Engineering Leadership, Data & AI Strategy

Most startups don't have a technology problem. They have a delivery problem, a cost problem, or a visibility problem. I come in, find what's blocking growth, and fix it. Hands-on, with a clear outcome in mind.

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Focused, hands-on work for startups and scaleups facing real technical challenges on a defined timeline.

Who This Is For

For founders and leadership teams who need real technical progress on a defined problem. Not a report that sits on a shelf gathering dust. Not a roadmap slide with no owner or execution path. Not a full-time hire yet — the timing's not right or the scope is too narrow. You're between Series A and Series D, you've got revenue or a clear path to it, and you're facing a genuine technical inflection point where external expertise moves the needle. London-based, working with distributed teams across the UK and Europe.

Outcomes Delivered

Delivery Predictability

  • Transform chaotic engineering into predictable, high-velocity delivery. Broken CI/CD, no metrics, random bottlenecks — these get fixed. Your team ships 3x faster.

Cloud Economics

  • Reduce cloud spend by 40–60% in 8–12 weeks while maintaining scale and reliability. Right-sizing, architectural redesign, commitment optimisation — the full audit and fix cycle.

Investor-Grade Data

  • Set up unified data pipelines and reporting to pass Series B–D due diligence

AI That Ships

  • Move AI from prototypes into enterprise-grade, integrated product features

When Consulting Makes Sense

Speed on a Specific Problem

  • You're facing a blocker before a product launch, a cost crisis threatening margins, or a technical debt moment slowing velocity. The problem is urgent and time-bound. A 4–10 week engagement fixes it — expert hands in the codebase, clear ownership by the end, your team graduates to the next level. A hiring process takes 4 months and doesn't address what's broken today. Worse, you'll spend 3 months interviewing while the problem compounds.

Series A–B Scaling Problems

  • Your team is 5–20 engineers with strong founders managing delivery, but you're hitting scaling problems they didn't anticipate — cloud spend 3x too high, CI/CD burning cycles, data pipelines can't keep up. You need external judgment on architecture, cloud economics, hiring velocity, and go-to-market infrastructure. Someone who's been through Series C–D and can tell you what to do, what to skip, and what's actually a trap.

External Credibility Signal

  • Investors want your infrastructure audit-ready before committing capital. Your board wants an independent technical perspective on your AI strategy before allocating significant R&D budget. Your customers need confidence you can scale. A 2–3 week deep audit from someone who's navigated Series B–D due diligence carries weight that internal recommendations don't. It's not bias. It's not one engineer's opinion. It's structured technical assessment from someone who's been here before.

Most of the founders I work with aren't actually choosing between a consultant and a full-time hire. That's rarely the real decision. They're choosing between acting now on a real problem and waiting for the perfect executive to materialise. In a fast-moving startup, the wait usually costs more than the engagement.

Track Record

Measurable Impact

  • Tripled engineering delivery speed at a scaling platform
  • Reduced cloud costs by 60% through architectural redesign
  • Built board-level dashboards that supported late-stage fundraising

I take on a small number of engagements each quarter. Not because of artificial scarcity. Because deep work requires focus. If what you're facing is real and the timing is right, let's talk.

How It Works

1. Audit the system

  • 1–2 week focused review of your systems, architecture, delivery workflows, and data flows. Goal: find where value is actually blocked, identify the leverage points, understand your team's constraints. Concrete, not conceptual.

2. Design a focused plan

  • Translate audit findings into a concrete roadmap tied to your business milestones: fundraise, product launch, revenue target, customer escalation. No vague recommendations. No "consider this sometime." Every action connects to measurable outcomes you care about.

3. Execute and hand over

  • Hands-on execution working alongside your team: code reviews, architecture decisions, pair sessions with engineers, sometimes running the day-to-day delivery for the domain we're fixing. By the end, you have clear ownership, working dashboards, and runbooks. Your team graduates to the next level. Clean handoff.

Not ready for a full engagement? Start with a single 30-min advisory call - no commitment required.

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Frequently Asked Questions

How much does a consulting engagement cost?

Consulting rates are customized based on the scope, duration, and nature of the engagement. I structure engagements as focused, time-bound projects (4–12 weeks) rather than ongoing retainers. Let's discuss your needs on a call to determine the right structure and cost.

What does a typical engagement look like?

Most engagements follow this pattern: 1) A 1–2 week audit of your systems, architecture, and delivery workflows; 2) A focused plan translated into concrete outcomes tied to your next milestone; 3) Hands-on execution with your team for 4–10 weeks, leaving you with dashboards, runbooks, and clear ownership.

Can you work with remote teams?

Yes. I work exclusively with distributed teams. Most engagements involve 2–3 days/week of synchronous time with your team, supplemented by async documentation and code reviews.

What if we're not ready for a full engagement?

Start with a single advisory call (30 minutes, via Calendly) to discuss your specific challenge. If there's a fit for a deeper engagement, we'll scope it together. No obligation.

Do you work with pre-seed or seed startups?

I primarily work with Series A–D companies and growth-stage startups that have product-market fit and revenue. If you're pre-seed, I'd recommend starting with mentorship or advisory relationships rather than a full consulting engagement.

How do you approach cloud cost optimization?

Cloud cost work typically involves: 1) Auditing your current spend and identifying waste; 2) Right-sizing infrastructure and optimizing database queries; 3) Restructuring commitments (RIs, savings plans); 4) Exploring credits and sponsorships. Most companies see 40–60% reductions within 8–12 weeks. See the <a href="/blog/hyperoptimise-cloud-cost/" class="text-link">cloud cost optimization playbook</a> for a detailed framework.

What does the first week look like?

Week 1 is diagnostic. You give me access to your codebase, infrastructure, and dashboards on day 1. I conduct 3–5 stakeholder interviews (product, engineering, ops) to understand where value is actually blocked. By end of week, I deliver a written findings brief: here's what I see, here's where the biggest leverage is, here's the proposed 4–10 week plan. No surprises, full transparency.

Do you work with companies outside the UK?

Yes. I'm London-based but work exclusively with distributed teams. Most engagements involve 2–3 days per week of synchronous time (calls, pair sessions) with your team, supplemented by async documentation and code review. I've worked with teams across the EU and US — timezone isn't a blocker if you're serious about the engagement.

What experience do you bring to this?

I've done this at companies scaling from Series B to D. The problems are usually the same: broken delivery pipelines that throttle velocity, runaway cloud costs eating margins, data visibility gaps blocking board-ready reporting, AI ambitions stuck in notebooks with no path to production. The solutions are usually simpler than people think. Not rocket science. Not flashy. Just practical judgement from someone who's been through these exact inflection points and knows what works, what doesn't, and what's a trap.

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