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Backend & full-stack product platform

Production fixes across Java APIs, AWS, OpenSearch and Vue/Nuxt

Delivered backend-heavy fixes for authorization, inventory, product specifications and service content across a multi-system customer platform.

JavaAWSOpenSearchVue / NuxtProduction debugging

The system

A global equipment platform combined Java services, serverless APIs, search indexes, CMS-managed content, dealer systems, product master data and a Nuxt/Vue frontend. A visible defect frequently crossed several of these boundaries.

What had to be solved

Issues such as incorrect machine authorization, missing service bulletins, unmapped dealer inventory and inconsistent product specifications could not be resolved reliably by patching the screen where the symptom appeared. The first incorrect decision had to be located across identifiers, source precedence and regional business rules.

Non-negotiable requirements

  • Different systems represented the same model, machine or dealer using different identifiers.
  • Expected behavior varied by region, role and source-system availability.
  • Changes had to remain narrow in a mature platform with multiple downstream consumers.
  • Backend and frontend contracts had to be validated together for SSR and client-side flows.

What I implemented

  • Traced browser behavior through API responses, CloudWatch logs, source records and OpenSearch documents.
  • Corrected Java/TypeScript authorization logic using the servicing-dealer relationship provided by the authoritative source.
  • Implemented inventory mapping using the shared product identifier and explicitly omitted unresolved records.
  • Resolved specification and content fallbacks by validating source precedence rather than duplicating data in the UI.
  • Delivered Vue/Nuxt changes where defects genuinely belonged to hydration, rendering or API consumption.

Key implementation choices

01

Trace the field to its source

Each visible value was followed backward through API mapping and source data before deciding which layer should change.

02

Match on authoritative identifiers

Mappings used IDs shared by the source systems rather than labels or names that could drift.

03

Keep fixes scoped

Corrections targeted the first invalid transformation while preserving contracts for unrelated consumers.

Engineering outcome

  • Authorization and inventory behavior aligned with the correct source-of-truth relationships.
  • Product and service-content issues were resolved without adding duplicate frontend rules.
  • Investigations produced clear ownership instead of repeated hand-offs between UI, API, CMS and data teams.
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