research engineer · systems + ai infrastructurelocation: lagos, ng · remotestack: go · typescript · postgres · kubernetesopen source: active — agent-railsfocus: memory · authorization · observabilityresearch engineer · systems + ai infrastructurelocation: lagos, ng · remotestack: go · typescript · postgres · kubernetesopen source: active — agent-railsfocus: memory · authorization · observability
Two tracks: architecture and security work for platform teams, and hands-on AI integration for small businesses that need one well-scoped, safely-gated AI employee — not a platform team.
Practical help, matched to scale.
Platform teams do not need another slide deck. They need someone who has built production infrastructure, understands how agents fail, and can work alongside their engineers to make concrete decisions.
Small businesses do not need a platform team at all. They need one AI employee that's actually safe to give real access to — refunds, reordering, scheduling — built on the same policy-gating approach behind Agent Guard, sized down to a single owner-operator business.
Either way, engagements are short, focused, and designed to leave you with working artifacts: an architecture document, a security baseline, a deployed integration, or a roadmap you can execute without me.