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Rahul
Raja
Staff Software Engineer
LinkedIn
Rahul is a Staff Engineer at LinkedIn, where he is a part of the AI Infrastructure team. With over a decade of experience in designing and building large-scale distributed systems, Rahul has led several critical projects that support LinkedIn's machine learning and AI workloads at scale. He is a graduate from Carnegie Mellon University, and his work focuses on creating robust, high-performance infrastructure that powers intelligent applications.
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27 August 2025 12:40 - 13:00
Panel | Evaluating the efficacy of LLMs - metrics, challenges, and stack
LLMOps is essential for scaling and maintaining large language models in production, but effective deployment requires more than just technical deployment—it involves ongoing optimization, monitoring, and maintenance. Join a deep dive into the infrastructure and strategies necessary for efficiently managing LLMs, discussing best practices for minimizing latency, ensuring robustness, and maintaining performance as models evolve over time. Bring your questions, and join the interactive discussion.