Enabling teams. Scaling AI solutions across industries.
For more than eight years I have been building data and AI systems for organisations that need something more than a deck. Twelve projects, nine industries, teams of up to thirty four engineers, and a single recurring brief: take the messiest part of the business and turn it into something measurable.
The work spans data platforms, agentic and generative AI, voice agents, RAG architectures, and the unglamorous backbone of compliance, governance, and observability. Automotive, rail, life sciences, healthcare, pharma, oil and gas, aerospace, gaming, fintech. The pattern is the same. The constraints are different.
What I would like to leave behind on every engagement is a capability, not a contract that has to be renewed. Engineers who can run the system. Documentation that survives my exit. A roadmap their CFO can read. The brief is always the problem first.
I don’t deliver strategy decks. I build systems, lead engineers, and hand off capabilities. Not dependencies.
Infrastructure audit, technology selection, build vs buy analysis. A concrete execution roadmap, not a pitch deck.
Modern data lakes, warehouses, and streaming pipelines. Cloud-native delivery on Azure, AWS, or GCP.
RAG systems, agentic AI, predictive engines, voice and chat interfaces. Production-grade, GDPR-compliant.
Dashboards, KPI frameworks, self-service analytics. Power BI, Superset, Looker. Full knowledge transfer included.
Step in as your data and AI leader. Set standards, build the team, mentor engineers, and hand off a capability. Not a dependency.
Dealerships. SLA from five days to seconds.
Compliance for a century-old manufacturer.
Calls handled. Zero callers detected AI.
Product formulation. Global collagen leader.
Whether you need a data strategy, an AI product taken to production, or a senior leader to build the capability from within, I would like to hear about the problem first.