Maher Fayad

Deployo

A unified dashboard that takes DevOps teams from trained model to monitored deployment in one place.

CaseContext

Product Designer

Problemto product

ML deployment tooling was fragmented for DevOps teams.

Unified dashboard for integration, pipelines, and monitoring.

Dashboard UX for developers and AI engineers.

Context

DevOps and ML teams were stitching together separate tools to integrate models, run deployment pipelines, and monitor performance. Every handoff between tools was a chance to lose state, context, and time.

What I did

I designed the end-to-end dashboard experience: the information architecture, the deployment flow, pipeline states, and the monitoring views engineers check every day.

Key decisions
  • One lifecycle mental model, integrate then deploy then monitor, so users always know where they are.
  • Status-first screens: pipeline and model health readable at a glance before any drill-down.
  • Dense, engineer-grade tables with progressive disclosure instead of oversimplified cards.
Result

Shipped dashboard UX covering model integration, deployment pipelines, and performance monitoring for developers and AI engineers.

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What's next

Contactor browse