Area 01
Production AI systems
Engineering reliable AI services with deliberate retrieval, evaluation, failure handling, and operational visibility.
Engineering practice
Work
Selected engineering work across production AI systems, developer tooling, observability, and machine learning research infrastructure.
Area 02
Developer tooling
Building tools that turn complicated workflows into clear, repeatable engineering systems.
Area 03
Real-time observability systems
Designing software that makes system behaviour legible while events are still unfolding.
Area 04
Machine learning research tooling
Creating practical infrastructure for fine-tuning, experiment management, and rigorous model assessment.