London, England, United Kingdom
Seasoned architecture and engineering leader with 20 years’ international experience guiding health-tech, fintech and data-rich enterprises. Combines strategic vision with hands-on execution - shaping cloud and AI road-maps, developing APIs and optimising ML and data pipelines. Data-driven by design, I leverage analytics and ML to steer product direction and quantify impact. Fluent across product, business and technology, I translate board objectives into measurable outcomes and mentor distributed technology teams. Repeatedly modernised legacy estates - most recently architecting Matrix42’s cloud-native platform and directing Intuit’s integration of 120 + banks, while remaining consistently hands-on and results-focused. Software & Cloud Architecture | Machine Learning (PyTorch, SKLearn, MLFlow, AirFlow, Pandas, NumPy, feature engineering, model serving) | Generative AI (OpenAI, Llama, Qwen, HuggingFace Transformers, Vector Databases, LangChain & LangServe) | Data Analytics (Tableau, PowerBI, Splunk, ELK, SQL, ETL pipelines, dashboards & reporting, Azure Synapse, Azure Fabric, Spark, PySpark) | Event Driven Architecture (Kafka, Azure Event Hub, AWS SQS, AWS EventBridge) | DevOps & CI/CD | Open Banking & OAuth2 | AWS & Azure | Python, Go, Java | Regulatory Engagement | Team Leadership | Customer-Centric Delivery
Working in the integration of Financial Institutions and Open Banking Standards in the UK and Europe, involved in a variety of technologies and standards, OpenID Connect, OAuth2, STET, NextGenPSD2, etc. I manage a team enabling connectivity to dozens of banks, and hundreds of API endpoints across the UK and the EEA, while capturing and monitoring billions of data-points which drive service improvements on a daily basis. Working member of FDATA UK.
Managed a team delivering the Babylon Health machine learning technology stack to partners in the healthcare and insurance space, scaling it to millions of users across a diverse range of technologies (frontend and backend).