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About speaker

Praveen Kumar Bodigutla

Praveen Kumar Bodigutla

Linkedin

Principal Staff Applied Researcher

Praveen Kumar Bodigutla is a Principal Staff AI Researcher and Engineer at LinkedIn, focused on translating state-of-the-art machine learning research into large-scale GenAI and agentic applications for both member-facing and enterprise products. He has led efforts to develop LinkedIn’s domain-adapted foundation model and is currently focused on agentic memory systems. Most recently, Praveen co-authored LinkedIn’s blog on the Cognitive Memory Agent (CMA), which describes how CMA delivers contextual personalization for LLM-powered agents. His work on CMA enables production systems, including LinkedIn’s first agent – LinkedIn Hiring Assistant, to maintain persistent, privacy-aware context and deliver more personalized agentic AI experiences at enterprise scale.

Beyond agent memory, Praveen Bodigutla’s work spans conversational AI, domain-adapted foundation models, search, messaging, and generative content systems. Across his patents and publications, he has advanced generative message composition, collaborative suggestions, NLU rewriting, satisfaction-aware speech processing, and domain-independent methods for evaluating dialogue quality and user satisfaction. Together, this work connects model adaptation, personalization, memory, and evaluation toward building more effective AI agents. Through his publications, patents, and production innovations, Praveen continues to shape how intelligent agents remember, reason, and personalize interactions across real-world generative AI systems.

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