Abuja, Federal Capital Territory, Nigeria
Summary
Architected and delivered a full-scale nutrition and fitness platform for the Nigerian market from scratch, owning all engineering, infrastructure, and product technical decisions solo.
Highlights
Architected and implemented complete end-to-end ecosystem comprising a FastAPI backend (62k+ LOC across 145 modules and 47 API resource groups), a modular Flutter mobile client (75k+ LOC across 19 feature modules), and two Next.js web frontends powered by PostgreSQL, Redis, and Celery.
Established zero-downtime infrastructure on DigitalOcean utilizing Docker, Nginx reverse proxying, Cloudflare edge caching, and automated GitHub Actions CI/CD pipelines executing rigorous testing, linting, and staged canary deployments.
Engineered a computer-vision food recognition pipeline featuring multi-provider fallback chains, a localized classifier failsafe, and an evaluation harness continuously benchmarking accuracy, latency, and cost before deployment.
Designed and populated an extensible relational nutrition database containing 502 dietitian-verified Nigerian food macro profiles and 2,000+ categorized exercises structured for zero-schema-change regional expansion.
Bypassed mobile app-store billing constraints by designing an automated checkout rerouting system with flexible dynamic subscription pricing configurations, eliminating backend release dependencies.
Implemented comprehensive security and data governance standards directly, ensuring end-to-end alignment with NDPR and GDPR requirements through automated consent tracking, account deletion, and data export pipelines.