Backend development.

Build the layer your product depends on

Backend work includes application services, data models, API endpoints and the rules that govern how information moves through a system. I work on bespoke applications as well as focused additions to an existing product.

Useful starting points include a slow manual process, an integration that repeatedly fails, or business logic that has become difficult to change. We define the expected behaviour and constraints before choosing an implementation.

Data, performance and access

My technical skills cover Python, C++, Java, C#, Go and SQL, alongside PostgreSQL, MySQL, Oracle, DynamoDB and Amazon Redshift. Database choice and service boundaries depend on the workload rather than a fixed preferred stack.

The design considers validation, permissions, error handling and traceable actions. For performance-sensitive systems, the scope should identify what needs measuring, the target workload and the trade-offs that matter.

Relevant engineering work

I helped Rose build low-latency market infrastructure for institutions, developers and AI agents, supporting trading and market analysis workflows. My wider work includes Python and C++ AI solutions, internal APIs and connected customer operations systems.

A typical engagement starts with a review of the current architecture and a bounded change. Delivery can include implementation, tests, deployment instructions and documentation for your team.