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Manish
Kavuturi
Generative AI Engineer
FedEx
Manish Kavuturi is a Generative AI Engineer at FedEx, where he works on building enterprise-grade AI systems for logistics intelligence. He develops production-ready GenAI platforms using LLMs, RAG architectures, and agentic workflows to enable natural language querying, document automation, and intelligent search across large-scale operational data. His work supports improved shipment visibility, root-cause analysis, and faster customer query resolution in complex logistics environments. With over six years of experience across AI engineering and backend development roles at companies including FedEx, Conduent, and Dell Technologies, Manish has built scalable data pipelines, FastAPI microservices, and cloud-native AI systems deployed on Azure and AWS. He specialises in combining retrieval systems, MLOps practices, and observability tooling to deliver reliable, high-impact AI solutions in production.
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29 October 2026 12:30 - 13:00
Panel | From GenAI to autonomous workflows: how teams are evolving their AI systems
Most teams don't plan for it. They ship a summarisation tool, a copilot, something scoped and manageable. Then it starts calling tools, chaining steps, making decisions without a human in the loop. At some point the thing you built stopped generating and started acting, and the playbook stopped working.This session is about that transition: what changes in how you build, monitor, and maintain AI systems when they move from reactive to autonomous. Key takeaways: → Where observability tooling breaks down for agentic systems and what teams are replacing it with → How deployment governance evolves when your system is taking actions, not just generating outputs → The team structure shifts that tend to follow when AI starts doing more of the work