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Chuk Uyammadu

Chukwuemelie "Chuk" Uyammadu — Information Systems Management background, IT support and data analysis experience, backend and AI systems builder, Linux homelab operator, and small-business technology practitioner.

Positioning

Systems-minded builder for operational work

I work at the intersection of business operations, data, backend systems, and practical IT support. My strongest projects usually start with a messy operational problem: a business owner needs clearer reporting, a workflow needs guardrails, a local system needs to stay running, or a prototype needs enough structure that another technical reviewer can trust it.

Education signal Information Systems Management

Business systems, process thinking, data workflows, and technology management.

Experience signal IT support + data analysis

Troubleshooting, reporting, operational visibility, and owner-friendly handoff.

Build signal Python, backend, AI systems

FastAPI-style services, structured data contracts, agent prototypes, and eval checks.

Operator signal Linux homelab + small business

Raspberry Pi systems, local infrastructure, restaurants, cameras, networks, and daily operations.

Recruiter scan

Where the work clusters

The portfolio is intentionally practical: systems that read local data, automate narrow workflows, support business decisions, and remain explainable.

Business information systems

Bridging operator needs, data structures, and technology constraints without losing the business context.

Backend and AI prototypes

Python services, API surfaces, typed responses, guardrail patterns, and reviewer-visible execution trails.

Data analyst instincts

Turning CSV exports, POS reports, and operational data into summaries people can act on.

Hands-on infrastructure

Raspberry Pi, Linux, networking, cameras, local services, and the documentation needed to hand systems off.

Representative projects

Working style

  • Scope the business problem before picking a tool.
  • Prefer read-only, inspectable, and reversible workflows where risk matters.
  • Write handoff notes so the owner or reviewer understands what changed.
  • Keep public claims bounded to what is actually built or demonstrable.

Review the work, then start with the case studies.

Orion is the clearest backend/AI example; the camera and infrastructure work shows the operator side.

View projects