Actuary · Builder · Melbourne

I find what's costing you time and money,
then build the fix.

A one-person practice for founders, operators and teams inside larger businesses. I inspect what you already run, find where time and money are leaking and where AI and automation pay off, then build it and integrate it cleanly into your existing stack. An actuary who ships production software. One accountable person, start to finish.

Start a conversation See the work
Senior and accountable. Concept to deployed in weeks, not quarters.
Gap scan / a typical first look Scanning
Where time and money are leaking Ranked by impact
Ad spend with no clear attributionBudget moving on a hunch across channels High
Pricing set once, never revisitedMargin left on the table on every order High
Hours a week on manual reportingA task software should be doing for you Automate
Reconciliation done on trustPayments leaking quietly at the edges Medium
Highest-impact fixes identified: 2 · build time: ~weeks Integrates with your stack
Plugs into the stack you already run
What I do

I find where you lose time and money, then build the fix.

One person across three lanes, because the highest-impact fix usually crosses all three.

Build
AI and automation scoped through deep discovery, built to a clear framework with guardrails, then wired into what you already run.
AI use-case discovery & scoping
Agents & workflow automation
Guardrails, evals & governance
Grow
The full growth stack: getting found, getting measured, and turning more of your traffic into revenue.
SEO & local search
Email, Meta & channel strategy
Analytics & attribution
Solve
The hard data problems that put a real number on the table and de-risk the next decision.
Pricing strategy & modelling
Payroll & commission analysis
Forecasting & scenario analysis
What I've done & my background

An actuary who builds the software. Both, in one person.

I trained as an actuary, one of the most demanding quantitative qualifications there is, then spent eight years shipping production software. I have taken three products from a blank file to deployed, on my own.

The mind · actuarial

Trained to price risk and quantify the uncertain.

I turn messy, incomplete data into defensible numbers your finance team will accept, model what happens before you commit a dollar, and find the few decisions that move the result.

Probabilistic modelling Risk & pricing Statistical analysis Forecasting
The hands · engineering

And the ability to actually ship it.

Eight years of production systems, in the languages and cloud you already run. I don't hand over a recommendation and leave. I build the system that captures the value, with no junior team learning on your budget.

C# / ASP.NET Advanced SQL Server Advanced R AWS & Azure AI / LLM integration
7stage nightly AI engine, built end to end
Scoutr · orchestrated-AI marketing · scoutr.world

An AI marketing team that never sleeps.

Every night it reads the market, reconstructs the buyer from real public language, tests campaigns against that buyer before any spend, ships them across six connected platforms with brand-safety guardrails, and compounds on the results. A seven-stage orchestrator with guardrails, evals and autopilot.

Built solo6 platform integrationsLLM orchestrationBrand-safety guardrails
Zyro · attribution & CRO · zyro.world

Tracking the revenue everyone else misses.

Server-side tracking that survives ad blockers, and intent-based tests that pick the right page for each visitor source, including the AI traffic most tools ignore. Concept to a working product with a production AI layer.

Built soloServer-side attributionProduction AI layer
AIattribution engine with a production AI layer
Edgea sports analytics platform, modelled from scratch
BetBetter · sports analytics · betbetter.world

Turning raw signal into decisions.

Scrape the real signal, model it honestly, automate the read. The same probabilistic instinct that runs through everything else, pointed at one of the hardest prediction problems there is.

Built soloPredictive modelsAutomated pipeline
My clients

Real businesses. Real numbers.

Animal Emergency AustraliaPricing, Remuneration, & Payroll solutions
Eyezone EmporiumFull analytics and merchant setup for a luxury eyewear boutique, then local SEO and marketing built on clean data.Grow
Vintage Posters OnlyChannel and marketplace strategy, plus email and Meta marketing to turn an audience into repeat buyers.Grow
Fragrance ArtisansSEO, growth and marketing for an Australian fragrance brand, built to be found by the right buyers.Grow
Stockroom CafeLocal search for a Pyrmont cafe. Homepage rebuild, a catering page, and a post-launch plan.SEO
PropkornBusiness growth strategy, working the levers that move revenue from first principles.Growth
What I'm capable of

Actuary-grade rigour, across the whole stack.

Actuaries were the original data scientists: the same statistical modelling, the generalised linear and gradient-boosted models that underpin modern machine learning, with the added discipline of pricing risk and making a model defensible to a board. I have that training, and the engineering to put it into production.

Data analytics & BI

Messy data into decisions

Advanced SQL Server and advanced R. Right now, the BI analyst for an emergency-vet group across ten clinics, turning operational data into pricing and payroll decisions.

Data science & statistics

Prediction, done properly

GLMs, gradient-boosted models, survival and probability models. The statistical core of data science is the actuarial core, applied to real business problems rather than a notebook.

Machine learning

Models that ship

Predictive models built, validated and deployed, from pricing engines to a sports-analytics platform modelled from scratch. Trained, monitored, and held to honest accuracy.

AI & LLM systems

Production, not prototypes

Agent orchestration, evals, guardrails and brand-safety. A seven-stage nightly AI engine running in Scoutr, plus a production AI layer in Zyro. Real systems, with real spend behind them.

Financial analysis & forecasting

Numbers that hold up

Pricing models, scenario analysis and forecasts built to survive scrutiny. A ten-clinic pricing rebuild and a commission audit that recovered real money are recent examples.

Risk & uncertainty

The downside, quantified

Trained to price risk and quantify what's uncertain. I size the downside before you commit, and tell you which decisions actually move the result and which don't.

And it isn't theory. Here is the AI already running in production:

Orchestration

A seven-stage nightly engine

An agent pipeline that runs unattended every night, from calibration through to autopilot. Scheduled, fault-tolerant, self-refreshing.

Pre-spend evals

Test the ad before you pay

Campaigns tested against a reconstructed buyer before a dollar is committed, with pass and fail critiques and cost tracking. An eval harness for marketing.

Guardrails

Safety built into the spend

Controversies, recalls and competitor crises are blocked from paid advertising automatically, alongside hourly LLM voice and claims QA. The judgment is in the system.

Closed loop

It compounds on results

Outcomes feed back into what it recommends next, so it gets measurably better at one specific business over time. The opposite of a tool that peaks on day one.

How I work with you

Deep discovery. Scope. Build with guardrails. Govern.

An enterprise-ready path from "where could AI and automation help" to a system running safely in production. The biggest predictor of return is choosing the right use case, so we start there, scope it, put a number on it, and never ship without guardrails and an owner.

01 · Discover

Readiness & discovery

I map your stack, data and workflows to surface where AI and automation genuinely pay off, and where they don't.

02 · Scope

Scope & prioritise

Each use case gets a defensible number, a clear scope and success criteria, ranked by impact. We start where the risk is lowest.

03 · Build

Build with guardrails

Built to a clear framework with the controls baked in: human-in-the-loop, evals, fallbacks and audit trails.

04 · Integrate

Integrate & pilot

It slots into your existing tools within your security and data rules, proven against a baseline before it scales.

05 · Govern

Govern & hand over

Monitoring, documentation and clear ownership, so it keeps running safely long after I'm gone.

Senior and accountable NDA-friendly Guardrails & governance built in Works within your security & data rules No technical debt

If something should be working better, let's find it.

Tell me what's slow, leaking, manual or guessed-at. I will tell you straight whether I can build something worth it, with a number attached. No long pitch, no obligation.

Email me See Scoutr
Melbourne, AustraliaRemote-friendlyOpen to projects & full-time