Production AI System Architecture Review with Sethu Pavan

Most AI tutorials show how to build a prototype. Production requires a different level of engineering.

I've built multi-agent AI systems, document intelligence pipelines, RAG applications and cloud-deployed AI infrastructure.

We can review:

• Agent orchestration and workflow architecture
• RAG design, hybrid search and reranking
• Document ingestion and processing pipelines
• LLM evaluation and failure handling
• Cloud deployment and infrastructure
• Latency, scalability and cost tradeoffs
• Reliability, logging and observability

Bring your existing architecture, proposed design or a specific technical challenge.

You'll leave with: A prioritised set of recommendations, relevant tradeoffs and practical next steps.

Best for: AI engineers, startup founders and teams building real AI applications.

This is a consultation, not a code implementation service, formal audit or guaranteed solution to every technical issue. However, further help can discussed if needed.