· ai-devtools
Presentation: Batch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience
InfoQ Homepage Presentations Batch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience Aditya Mulik explains how Walmart Global Tech deployed multi-agent LLM workflows across 4,700 stores for nightly batch inventory forecasting.
He discusses tackling production hurdles - schema violations, cross-department data mismatches, and network drops - via MCP grounding and loop agents, while slashing cloud inference costs from $100k+ to $10k per month shifting from PTUs to pay-as-you-go. Aditya Mulik is a Senior Software Engineer at Walmart Global Tech specializing in large-scale distributed systems and platform engineering, with deep expertise in deploying scalable and resilient solutions. He has led the development of microservices architectures and production LLM systems, enabling high-throughput applications serving millions of requests.
He also contributes to open source. QCon AI is a practitioner-led event focused entirely on the engineering discipline required to scale these workloads safely.
