I design clear, secure, and scalable REST APIs that front-end teams and partners can rely on. Starting from business use cases and consumer needs, I model resources and flows, then produce a production-ready OpenAPI contract that removes ambiguity and accelerates integration. The design covers versioning and deprecation, auth/RBAC, rate limiting & quotas, and a consistent error model with retry and idempotency rules—so your API is predictable under real-world load.

Resource modeling & contract — Well-named endpoints, request/response bodies, pagination/filters, status codes, and examples in OpenAPI 3.x.

Security & policies — JWT/OAuth flows, RBAC roles/permissions, input validation, rate limiting, idempotency, timeouts.

Developer experience — Human-readable docs, Postman/Insomnia collections, and a mock server for rapid client development.

Reliability & ops — Baseline contract tests, observability guidance (logs/metrics/traces, correlation IDs), and practical performance budgets (e.g., p95 latency goals).

Faster integrations: A precise contract and ready-to-run collections reduce back-and-forth and shorten “time-to-first-call.”

Fewer breaking changes: Versioning and change governance protect existing consumers while your API evolves.

Operational confidence: Consistent errors, retries, and rate limits make behavior predictable during traffic spikes.

Tailoring to your goals Deliverables are right-sized to scope and complexity. For greenfield MVPs, we can keep the contract lean and focus on velocity; for enterprise or partner use, we can add a reference implementation (Node.js/Python/Java), gateway policies (Kong/NGINX), SDK stubs, deeper performance/security passes, and observability dashboards.