Day job is infrastructure and Microsoft cloud work for a New Zealand MSP. M365, Azure, Entra, Intune, client environments across the country. Early mornings, lunch breaks, nights and weekends go into the Bittensor ecosystem: subnet research under IntoTAO, OpenClaw agent tooling, and Zhen, a decentralised calibration layer for digital twins running on testnet. The MSP work keeps the fundamentals sharp. The Bittensor work is where the energy is going.
Talk through the approach first, then build. Most of the time that means a strategy session before touching code, then implementation with clear prompts and tight feedback loops. Methodical over fast. A well-scoped thing beats a rushed one. Systems get a CLAUDE.md before they get a feature. When something fails, it goes into CLOSED_DIRECTIONS so the next experiment doesn't repeat it. The goal is a codebase that a future version of me can actually work in.
Looking to move into a full-time role in the AI and/or Bittensor space where the day job and the side projects are the same thing. Open to building internal AI tooling, working on agent infrastructure, or anything that sits at the edge of practical AI and real systems. Auckland-based, open to remote. If you're building something interesting in decentralised AI or the agent space, it's worth a conversation.