JEREMIAH IDAKABOR

Inherited codebases that don't ship, performance-degraded APIs, or systems no one on the existing team understands well enough to fix. Triage the critical path, stabilize the deployment pipeline, and hand back a working system with documentation — often in 2-4 weeks.

A structured review of the stack, deployment topology, database schema, and API design — delivered as a written report with prioritized recommendations. Covers security surface area, scaling bottlenecks, observability gaps, and cost optimization on cloud infrastructure.

Moving on-prem or poorly architected cloud deployments to Docker + Cloud Run, AWS ECS, or Kubernetes with CI/CD pipelines and zero-downtime cutover.

A specific feature built — a Flutter mobile app, a Laravel API module, a computer vision pipeline, a BI dashboard — integrated into the client's existing team, delivered against their sprint cadence, with code review and tests.

End-to-end analytics — data pipeline design, cleaning/validation, exploratory analysis, forecasting, ML models, and interactive dashboards. Deliverables include a written case study with methodology, sourced insights, and a presentation-ready executive summary.

Half-day to full-day sessions on production Laravel patterns, Flutter state management at scale, Docker for development teams, CI/CD pipeline design, data analytics for product teams, and AI/computer vision for engineers. Tailored to the client's stack, delivered on-site or remote.