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Production systems across AI infrastructure, payments, data platforms, and AI-native products. Each project links to a write-up — long-form case study where the detail is public, a shorter verified summary where it is not.

Case studies

Featured

AI Infrastructure

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ModelRail

A production AI gateway that gives developers one API for routing, failover, usage limits, and billing across multiple models — launching first for developers in Nigeria.

Built a two-tier routing system that picks the right model from static mapping plus lightweight heuristics, with no added latency from an extra LLM call.

  • Workload-alias system (auto, chat, reasoning, code, tools) so apps call a stable alias instead of a specific model.
  • Rate limits and monthly spend caps with clear error responses to prevent runaway usage and surprise bills.
  • Prepaid credit wallet built to remove payment friction for developers in Nigeria.
NestJSTypeScriptRedisBullMQMongoDB

Payments Infrastructure

KrownPay

Backend services, cloud infrastructure, and transaction workflows for a production payments platform.

Led the move from a monolith to event-driven microservices, improving reliability and responsiveness for payment processing.

  • 30% AWS infrastructure cost reduction from adding spot instances to EKS while improving scaling.
  • Real-time blockchain transaction monitoring across Solana, Ethereum, and Polygon.
AWSEKSKubernetesEvent-Driven MicroservicesBlockchain Monitoring

AI & Data Systems

Resonance Holdings

AI-driven market intelligence products — data exploration, relationship mapping, and contextual insights.

Designed and tuned Neo4j graph models and Cypher queries for relationship-based search, filtering, and analytics.

  • Integrated proprietary and third-party AI models into the data pipeline to improve recommendations.
  • Set up AWS infrastructure (EKS, S3, Lambda, API Gateway) for secure, scalable deployments.
Neo4jCypherNode.jsTypeScriptAWS

Rightward

An AI-powered app that helps Canadians review recurring bills and find ways to save money.

Built the product end-to-end with Next.js, TypeScript, Supabase, Tailwind CSS, Claude SDK, and Resend.

  • Workflows for telecom bill analysis, plan comparisons, and savings recommendations.
  • Used the Claude SDK to turn complex billing data into clear, actionable recommendations.
  • Balanced accuracy, reliability, privacy, and trust while building solo.
Next.jsTypeScriptSupabaseTailwind CSSClaude SDKResend

EchoFaith

An AI-native, multi-tenant platform for church communication and workflow automation.

Designing backend for scheduled messaging, outreach automation, and member lifecycle management.

  • Queue-based job processing, timezone-aware scheduling, and activity tracking across tenants.