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Multi-Agent Research Assistant

In Progress

Comprehensive AI research and productivity integration platform.

Product engineerClient: AI productivityInternal product2025
3+
agent workflows
1
async queues
2
deployment targets
Multi-Agent Research Assistant - Image 1

Highlights

  • Designed a multi-agent research workflow across web, worker, and queue layers.
  • Integrated Django, Celery, PostgreSQL, Docker, Kubernetes, and Azure deployment paths.
  • Built for long-running research jobs, source collection, and structured outputs.

Technologies Used

Next.jsTypescriptTailwind-CSSPythonDjangoAzurePostgreSQLDockerKubernetesCelery
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