
Systems, AI automation and engineering
A Python and Django developer with five years spanning software engineering and AI automation. He runs the technology function at Pharmaxa Labs and its sister US e-commerce brands — engineering across 100+ web properties, from storefronts to multi-channel funnels — leading a team of more than twenty and working directly with US stakeholders.
His flagship is a marketing-attribution platform built from first principles. Two and a half years on it is load-bearing: it resolves customer journeys at 98% accuracy across an intricate multi-channel funnel using first-party cross-domain tracking, granular event attribution and identity resolution, and reconciles that against every platform the business sells on. The unglamorous, real-money kind of analytics — the sort that changes where the next dollar goes rather than decorating a slide.
Alongside it he architects the scalable systems, dashboards and resilient ETL pipelines that consolidate data across dozens of platforms, and orchestrates AI agents at fleet scale through Jerry, his own task runner, which authors and deploys production code at pace. Those agents drive reporting, SEO, quality assurance, customer service, site-building, sales, email automation, CRM, content and trading. His roots run deep in trading automation too, with years spent engineering strategies and scripts at scale.
What he cares about is clean, efficient code, thoughtful system design, and leverage: shipping in weeks what used to take quarters. It is also why Intelus can quote the timelines it does — the tooling is not theoretical, it is what we run on.
“I think in systems, and I ship fast.”