Trust infrastructure for discovery

Verify9ja

Backend trust infrastructure that makes local business discovery credible, searchable, and manageable.

Role
Backend engineering for trust and operational workflows
Stack
  • Python
  • FastAPI
  • PostgreSQL
  • Docker

Problem

The problem

Local discovery only works when people can trust the businesses they find. The platform needed a backend that could coordinate vendor onboarding, identity, search, reviews, moderation, communication, analytics, and administrative oversight without turning trust into a superficial badge.

System model

A connected operational flow

Vendor onboardingIdentity & reviewsSearch & discoveryModeration & oversight

System flow: Vendor onboarding to Identity & reviews; Identity & reviews to Search & discovery; Search & discovery to Moderation & oversight.

Context

Discovery depends on credible signals

Verify9ja treats local discovery as a trust problem, not simply a listing problem. Vendor onboarding, identity, reviews, and search must work with moderation and administrative oversight so that credibility has operational substance.

Responsibility

Coordinate the trust lifecycle

I worked on backend capabilities that connect onboarding, authentication, search and discovery, reviews, messaging, notifications, analytics, and auditability. Each part contributes to a platform where trust decisions can be managed rather than presented as a superficial badge.

Engineering decisions

Keep discovery and governance connected

The system combines an API-focused Python backend with PostgreSQL for persistent platform records and Docker for repeatable service packaging. This gives operational teams a coherent basis for moderation, communication, and oversight alongside discovery.

Outcome

What the system enables

Supported a more credible discovery experience by connecting verification, moderation, communication, and administrative oversight.