ABOUT / ENGINEERING DIRECTION
Following the systems that need to keep working.
I started working as a software developer in 2011. The work has moved from applications toward the systems beneath them: distributed infrastructure, data platforms, ML infrastructure, and now enterprise AI platforms.
THE THREAD
WHAT HOLDS MY ATTENTION
Enterprise-scale system design is most interesting where it becomes operational: the control plane, system boundaries, ownership, diagnosis, recovery, and the evidence available when something fails.
I’m especially interested in governable AI systems, reproducible behaviour, explicit contracts, vendor-neutral architecture, and the failure isolation required to evolve complex systems with confidence.
WORKING PRINCIPLES
01Operational stability over elegance
02Explicit ownership
03No hidden contracts
04Failure isolation
05Reproducibility
06Version meaningful behaviour
07Observability by default