Episode 63
Scaling LLM-Powered Recommender Systems and AI Infrastructure
In this episode of the AI Loves Data Podcast, we sit down with Rahul Raja, Staff Engineer at LinkedIn, who leads large-scale AI and search infrastructure projects. Rahul shares his experience deploying LLM-powered recommender systems and building production-scale AI/ML infrastructure that supports millions of users. Vaishali shares her experience leading global data teams, partnering with executive leadership, and building strategies that connect cutting-edge technology to real business value. We explore her insights on operationalizing AI, scaling analytics across enterprises, and overcoming challenges in data governance, stakeholder alignment, and innovation adoption. Key Highlights:- Production-Scale LLMs: Deploying and scaling recommender systems powered by large language models.
- AI Infrastructure Challenges: Building reliable, high-performance search and ML platforms at global scale.
- MLOps & Model Optimization: Lessons learned from optimizing and monitoring complex AI pipelines.
- Future of AI at Scale: Trends in GenAI, multimodal AI, and recommender systems that will shape the industry.
Be sure to mark your calendars for the annual ALD NYC on May 13, where we will focus on THE FUTURE OF APPLIED AI IN Finance and Banking. Join us to hear from experts on how AI is shaping the future of finance, banking and insurance: https://ailovesdata.com/newyork/
