Head of AI Transformation at FP Markets
Making AI
work in the
real world.
I’m Geo. I connect strategy, technology, and people to turn AI ambition into systems that earn their place in everyday work.
Builder’s instinct.Geo.
A track record of building
From the first line of code
to organisation-wide change.
AI workflows in production
Delivered across Compliance, HR, and Finance in financial services.
Annual operational savings
Through enterprise AI automation and reduced vendor expenses.
Patients served
By the healthcare platform I helped build from its earliest code at Xamplifier.
The perspective I bring
Business fluency.
Technical depth.
Human judgement.
AI transformation touches how a business makes decisions, how teams work, and what customers can trust. It takes more than a working model to make it last.
My career has moved through engineering, product, and executive leadership. Today, I bring those perspectives together as Head of AI Transformation at FP Markets, with experience shaped by financial services and healthcare.
More about meHow I work
Useful first.
Trusted by design.
A practical path from an idea to something
people can depend on.
Start with the work people actually do.
Map the workflow with the people closest to it. Understand the friction, the cost of mistakes, and what a better outcome would look like before choosing a model.
- A clear business problem
- An accountable owner
- A measurable baseline
Reliability is part of the product.
Design access controls, evaluations, audit trails, and human review alongside the workflow. Make uncertainty visible and decide where automation should stop.
- Testable quality standards
- Human oversight where it matters
- Traceable decisions
A launch is the start of the work.
Put the system into the team’s daily workflow, gather feedback, and measure the outcome. Improve it with the people using it, then expand what proves useful.
- A supported rollout
- Feedback from real users
- Evidence before expansion
AI safety & open research
Understand the model.
Question the measurement.
Alongside leading AI transformation, I investigate how language models learn, how their safeguards behave, and what our evaluations actually measure. I publish the experiments, results, and revisions openly.
Independent work
Curiosity, put to work.
Making health data understandable.
A consumer health app I designed, built, and shipped solo. It turns biomarker results into plain-language guidance, with a six-tier evidence system that makes the strength of the underlying research visible.
Explore PLA HealthBetter questions. Defensible answers.
Independent research into Bitcoin forensics: testing the heuristics behind transaction tracing, exposing their assumptions, and making the methodology transparent. Research accepted at EMCIS 2026.
Explore the researchFollow the evidence.
A Bitcoin analytics platform for transaction graph exploration and fund-flow tracing. Built around transparent methodology and making investigative tools more accessible.
Explore TrailBitFrontier Field Notes
Look closer.
Question the assumptions.
I write about AI interpretability, blockchain forensics, and the evidence behind complex systems. Read Frontier Field Notes on Substack and LinkedIn, from hands-on experiments to the questions they leave open.