I solve engineering problems using software.
For the past 25 years I’ve worked on systems that needed fixing, scaling, or redesigning — from legacy platforms to modern cloud architectures.
Most of my work involves understanding how systems behave in production, simplifying architectures that have become too complex, and improving how teams build and ship software.
This includes:
- Refactoring large codebases
- Improving performance and system reliability
- Designing scalable architectures
- Reducing delivery friction through automation and CI/CD
- Integrating new capabilities like AI into existing platforms
I primarily work in the Java ecosystem (mostly Spring), along with JavaScript and Go. I also use Clojure, C#, and Python depending on the problem.
I contributed to the Spring AI ecosystem and I’m the author of “Spring AI for Your Organization”, a practical guide to building AI-enabled applications using the Spring framework.
Outside of day-to-day work, I spend a lot of time building tools, experimenting with new systems, and exploring areas like AI tooling, developer platforms, distributed systems, and automation.