Product engineering at scale-up pace

Startup Chapter

Owning architecture where the roadmap changes faster than the diagram, and shipping AI features on top of it without destabilising the platform.

What I held

Platform architecture and its evolution across releases
Backend services for a production agritech platform
AI feature design, evaluation and deployment
Technical decisions under genuine time and headcount limits

What it taught me

A scale-up rewards architecture that can be wrong cheaply. You learn to pick the decisions worth defending and to leave the rest reversible.

The full write-up

Still being written. The projects, the decisions that turned out to be right, and the ones that didn't are the interesting part, and they deserve more than a paragraph.

Happy to walk you through any of it in the meantime.

Ask me about it on a call