A backlog maturity assessment platform that ingests story CSVs, runs structured evaluations, and surfaces run/story diagnostics through a Next.js analysis workspace.
context
I contributed across backend and frontend in a collaborative product environment, focusing on ingestion reliability, evaluation orchestration, and a filterable run/story analysis UI.
highlights
> Implemented a modular monolith backend with explicit module boundaries for ingestion, runs, stories, and evaluation domains.
> Built Jira CSV ingestion with strict malformed-row handling, header alias mapping, required-column validation, and continuation-row collapsing for multiline story fields.
> Implemented run pipeline orchestration with explicit status transitions (`pending`, `ingested`, `processing`, `completed`, `failed`) and transaction-scoped persistence.
> Added structured evaluation adapters with retry behavior, health checks, and robust parsing fallback strategies (primary schema, repair pass, two-step fallback).
> Added deterministic fake evaluation adapter support to enable local/offline and CI-friendly test scenarios.
> Implemented Next.js BFF-backed frontend routes with feature boundaries and URL-state parsing/canonicalization via `nuqs`.