Multi-Agent Research Assistant
In ProgressComprehensive AI research and productivity integration platform.
Product engineerClient: AI productivityInternal product2025
3+
agent workflows
1
async queues
2
deployment targets
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