Make production boring again
Lower incidents, improve MTTR, and introduce operational discipline that actually sticks.
CTO-level consultant with 15+ years across fintech, gaming & sports betting technology — including platforms processing millions of transactions per day (PokerStars), millions of transactions per week (Racing & Sports), and launching the Isle of Man’s first ever digital bank in regulated environments.
Same problems, repeatable pattern: reduce risk, professionalise operations, then safely accelerate delivery.
Lower incidents, improve MTTR, and introduce operational discipline that actually sticks.
Translate technical reality into business risk with RACI, risk registers, escalation, and reporting.
Stable foundations + clear ownership so teams can ship value faster without increasing fragility.
I’ll identify where your platform is most likely to fail under pressure, where risk is quietly accumulating, and what I would fix first. No fluffy consulting theatre. Just a sharp view from someone who has spent years dealing with revenue-critical systems in regulated environments.
Problem → approach → measurable impact.
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Selected experience delivering and operating complex, regulated platforms.
Executive owner of engineering, cloud, security, and production operations in a multi-jurisdictional regulated wagering business.
Led technology, data, and product strategy for NFL-centric sports betting products in regulated US markets.
Senior hands-on leader delivering secure, regulated banking platforms for e-gaming and corporate services clients.
Co-founder exec for a B2B sportsbook provider: product delivery, certification, and live operations.
Led global CMS platform delivery across 8 licences and 26 languages across poker/casino/sportsbook/live events.
Selected writing on operations, leadership, and scaling regulated systems.
If you’re building or analysing a sports simulation system, there’s an important principle that often gets overlooked: Just because something is extremely unlikely doesn’t mean it’s impossible. And in the NFL, nothing illustrates that better than the 2–0 final score.
Scrum vs Kanban: When Each Actually Works (and When It Doesn’t).
A practical view of what “good” actually looks like when running stable, high-availability platforms in production.
Why L1 / L2 / L3 Support Models fail without clear ownership.
Patterns I’ve seen (and made mistakes with) when scaling teams and production systems.
Bet placement: why it fails (and what the architecture is trying to tell you).
If you’re dealing with operational fragility, incident load, delivery unpredictability, audit pressure, or cloud cost blowouts, the easiest starting point is the free 30-minute Platform Risk Review.
Advisory • due diligence • platform stabilisation • incident / ops maturity programs.