Research-to-Production Engineering

I Take Prototypes Into Production

Real-time, mission-critical engineering applied to AI/ML, networks, and complex systems

Most organisations don’t have an innovation problem — they have a delivery problem

  • Ideas are easy
  • Research is plentiful
  • Prototypes get built

But getting any of it into production — reliably, repeatably, and without disrupting existing systems — is where everything slows down.

That’s the gap I fill.

I specialise in taking complex research, proofs of concept, and experimental models and turning them into deployable, reliable, production-grade systems.
My background comes from broadcast engineering — where systems are real-time, mission-critical, and publicly visible when they fail — and I bring that discipline to every project, no matter the domain.

What I Do

1. Translate Research Into Buildable Requirements

Most research outputs aren’t written for engineers. I break down complex ideas into clear, actionable specifications that teams can execute on.

You get:

  • practical requirements
  • simplified engineering specs
  • focus on real constraints (latency, reliability, data flows)
  • clear success criteria and KPIs

No academic fluff
Just what’s needed to build and ship

2. Feasibility & Technical Risk Assessment

Plenty of ideas sound good — far fewer survive contact with real systems.

I test:

  • whether the idea is technically viable
  • what it will cost to implement
  • how it behaves under real load
  • what failure modes you’re likely to hit
  • whether it’s worth taking further

This prevents months of wasted effort. You get a go, no-go, redesign decision with evidence behind it

3. Production-Focused Architecture & Implementation Planning

Prototypes aren’t designed for uptime, scaling, or real traffic.

I design:

  • deployment architecture
  • integration points
  • data flows
  • operational requirements
  • migration steps
  • resource estimates

Your teams get a clear, realistic plan to move forward

4. Rapid, Focused Prototyping

I build minimal, targeted prototypes that actually prove or disprove the idea in your environment—not a controlled lab.

You get:

  • a working prototype
  • real-world performance metrics
  • early discovery of edge cases and failure modes

This gives you evidence, not speculation

5. Pilot Deployment & Early Operationalisation

This is where theory meets reality.

I guide solutions through controlled deployment, ensuring:

  • monitoring and observability
  • real-time KPI tracking
  • fault behaviour documented
  • operational risks surfaced early
  • clean handoff to production teams

This is where research becomes a real system

Why Work With Me

Built in Real-Time, Mission-Critical Environments

My engineering background comes from broadcast and IP-networked media — environments where:

  • every millisecond matters
  • downtime is unacceptable
  • systems run continuously
  • problems are visible to millions
  • reliability isn’t optional

This discipline transfers directly into AI/ML, networking, real-time applications, high-volume data systems, and any environment where robust, predictable behaviour is non-negotiable.

Research Insight + Engineering Pragmatism

I understand the research and the operational constraints — and I know how to connect the two without the usual friction.

I deliver clarity quickly

  • You get direct, honest assessments
  • No corporate padding
  • No optimistic timelines
  • Just what’s true and what it takes to ship

Most organisations stall at the research-to-reality gap. I remove that bottleneck and make innovation deployable

Who I Work With

I help organisations working with complex, time-sensitive, or mission-critical systems, including:

  • AI/ML teams moving from prototype to production
  • network optimisation and distributed system teams
  • broadcast, media technology, and real-time streaming
  • data-intensive infrastructure
  • teams modernising or scaling legacy systems
  • CTOs and heads of engineering who want execution, not theory

If your challenge involves complexity, latency, reliability, or integration — you’re in the right place

Engagement Options

Discovery & Direction (2–4 weeks)

Deep review of research, prototypes, and system constraints.
Output: a clear, actionable implementation plan.

Prototype & Validation (4–8 weeks)

Rapid build + benchmarking to validate performance and viability.

Pilot & Handoff (variable)

Guide the solution into a controlled, monitored deployment.
Operationalise, document, and hand off to internal teams.

The Result

You don’t just get a prototype that looks promising —
you get a system that works under real conditions.

You get:

  • clarity instead of confusion
  • engineering truth instead of assumptions
  • reliability instead of “it works on my machine”
  • innovation that actually ships

I take your research and make it real.

Let’s Talk

If you have a prototype, model, or research idea that needs to cross the finish line, I can help you get it into the real world — reliably and efficiently.

Get in touch to discuss your project.

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