Backend-Owned AI Workflow
RAG, transcript/call/document analysis, approval flow, CRM action, operator workflow, citations, quality checks, and audit trail.
LinkedIn currently routes my Services page through broad labels such as Cloud Application Development, Web Development, Application Development, Custom Software Development, Information Management, and IT Consulting. I treat those labels as a fit only when the work has backend automation and integration, AI workflow, integration, data, Docker/CI handoff, or internal-operations ownership.
The actual offer is concrete: turn one messy business workflow into a backend-owned system with records, state, adapter contracts, logs, tests, docs, deployment/recovery path, and a handoff route.
RAG, transcript/call/document analysis, approval flow, CRM action, operator workflow, citations, quality checks, and audit trail.
Explicit source/target contracts, mapping, validation, retries, idempotency, logs, rollout notes, and recovery path.
FastAPI/PostgreSQL backend, admin records, roles, workflow state, outbox, tests, Docker, CI, docs, and runbook.
Deploy path, health checks, smoke checks, logs, backup/restore, rollback thinking, release gates, and operator handoff.
Repeatable ingestion, validation, reporting, review, approval, and system handoff instead of spreadsheet-only output.
Risk map, system boundary, smallest responsible working slice, review path, and next implementation step.
Not my target right now unless there is a real backend or integration system to own:
Send the current workflow, systems involved, one observable success condition, access limits, and what must not break.