Spring Boot applications from the data model through to production — REST interfaces, background jobs, monitoring and the migrations that keep a schema moving.

Spring Cloud, RabbitMQ, Eureka and API gateways. Splitting a monolith, or making systems that were never meant to talk to each other work as one.

Spring AI and MCP servers over the data you already hold — answers streamed over SSE, models run locally through Ollama or hosted. A feature in the product, not a chatbot bolted to the side of it.

Planning problems solved with OptaPlanner, GraphHopper and Jsprit over OpenStreetMap data — courier routes, business trip plans — and the map in the browser that shows the result, on Leaflet.

Asterisk wired into a Java application through asterisk-java — call routing, operator screens, and call records kept where the rest of your data already lives.

Processes drawn in BPMN and decisions in DMN, so the rules sit in a diagram the business can read and argue with, instead of scattered through conditionals only you can find.

ClickHouse or DuckDB alongside the operational database, so reports over hundreds of millions of rows stop competing with the system that writes them.

Version upgrades, moving a system between platforms, paying down technical debt in code that has to keep running while you work on it.