Engineer who builds complex systems
and can explain them to anyone.
Across Wise, Confluent, and Barclays Working on the systems behind global payments, real-time data, and AI infrastructure. Now looking to take that depth into roles where the technical and commercial sides of a business meet.
Software Engineer II at Wise, receive team, cross-border payments infrastructure, London.
I think in systems. From how services communicate to the trade-offs that shape an architecture, I do the work that happens before a single line of code is written. And I can walk anyone through the reasoning clearly.
Hands-on experience with large language models and the Model Context Protocol, building systems that connect AI to real data and workflows. Comfortable demoing, integrating, and explaining AI tooling to technical and non-technical audiences alike.
At Wise and Barclays, I've worked on the infrastructure behind global finance. I understand the constraints of regulated environments and can speak credibly to both engineering and business stakeholders in this space.
I've worked at Confluent, the company behind Apache Kafka, building pipelines that keep data moving in real time. I understand the product inside out, from the architecture to the enterprise use cases it solves.
Working on the infrastructure that receives money at one of the world's most trusted transfer platforms. Involved in system design and architecture decisions, building reliable services that handle cross-border payments at scale with a strong focus on product thinking and getting the design right before writing the code.
Confluent is the company that commercialised Apache Kafka, the data streaming technology underneath most of the world's largest companies. I worked on enterprise security and data infrastructure, helping drive enterprise adoption and leading resilience initiatives across multiple cloud environments.
Started my career at one of the world's largest banks, building tools for Private Banking clients in and working across trading systems and Investment Banking. Won the company-wide data science competition,an early lesson in how the right model, applied to the right problem, changes outcomes.
I've worked across fintech, data infrastructure, and AI at companies where these things genuinely matter at scale. That breadth means I can hold a deep technical conversation, or step back and explain the business case clearly. Both matter for the work I want to do next.
Solutions engineering, technical advisory and VC conversations.
If there's an interesting intersection of technical and commercial, I'm open to it. No pitch needed, just a conversation.