Lokesh Karanam
Staff Software Engineer at RR Donnelley
Austin, Texas, United States
Actions
Lokesh Karanam is a Staff Software Engineer specializing in Machine Learning Systems for Regulated Cloud Data Platforms and Generative AI Operations, backed by over five years of industry experience. He currently works at RR Donnelley (Austin, TX) and previously held a role as a Software Development Engineer at Amazon Web Services.
His educational background includes an M.S. in Computer Science from the University of Missouri.
Lokesh's career highlights feature significant original technical contributions, such as developing a large-scale, privacy-compliance deletion platform and implementing solutions that drove substantial cloud cost savings and platform efficiencies. He also led an AI marketing platform project with a pending patent. His scholarly contributions include multiple peer-reviewed publications in prestigious conferences like IEEE DeSE and AMIA, covering advanced topics from Intrusion Detection using deep learning to Continuous Anticipation of Acute Kidney Injury (AKI) in the ICU. Lokesh's contributions have earned him recognition, including the Diamond Award and service as a Session Chair at the IEOM conference.
Area of Expertise
Topics
From Chatbots to Colleagues: Building Autonomous Agent Crews with CrewAI and MCP
In this session, we move beyond simple prompt-response interactions to explore the world of Agentic AI. We'll dive into the architecture of multi-agent systems using CrewAI, demonstrating how autonomous "crews" can handle complex workflows like code refactoring and Git automation. We will also demystify the Model Context Protocol (MCP) and explain why standardized tool communication is the key to scaling the next generation of AI agents. Attendees will leave with a clear understanding of how to build, orchestrate, and tool-equip agents that don't just talk, but act.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top