Production LLM systems face impossible tradeoffs: latency vs accuracy, cost vs quality, speed vs reliability. I'll demonstrate how multi-agent architectures with LLM-as-Judge patterns solve these challenges through live examples, showing how task decomposition and peer review eliminate production bottlenecks while driving errors to near-zero. Attendees will see practical patterns they can implement immediately.
Pranav Kowadkar is an AI Engineer specializing in multi-agent systems and LLM orchestration. He holds an MS in Data Science from NJIT and has won the n8n sponsor prize at the ElevenLabs Global Hackathon. Previously: aerospace engineering at National Aerospace Labs and R&D software at Dassault Systèmes.
