Rajeev Kumar is a seasoned machine learning leader with over 16 years of experience advancing AI and ML at globally renowned organizations. Currently leading machine learning initiatives at Netflix, he specializes in applying knowledge graphs to search, recommendations, and insights that drive multi-billion-dollar content decisions. Previously, Rajeev held pivotal roles at Meta and Microsoft, where he developed large-scale knowledge graphs with 4 billion nodes and 12 billion facts, enhanced search systems for Facebook and Bing, implemented fact extraction techniques, and built product graphs to power Facebook Marketplace recommendations.

In addition to his corporate achievements, Rajeev is a co-founder and advisor to two cutting-edge AI startups. Althire AI transforms hiring with AI-driven interview platforms, while Intent AI reinvents e-commerce with conversational AI, seamlessly combining advanced LLMs and knowledge graphs to enhance user experiences.

Rajeev has authored multiple papers in the field and actively participates as a reviewer for prestigious conferences such as IEEE, NAACL, ACM and others focusing on AI and semantic web across domains. In addition, he has served as a judge for prominent AI hackathons, including events hosted by Microsoft and HackML. Rajeev's achievements include winning the Microsoft Global Hackathon (selected from over 4,000 teams) and securing the runner-up position at the Facebook Hackathon. He is passionately dedicated to fostering innovation, mentoring emerging talent, and bridging the gap between research and practical applications.

As a speaker, Rajeev shares expertise on building scalable ML products, leveraging knowledge graphs for deeper intelligence, the transformative potential of combining knowledge graphs with LLMs, and creating innovative AI-driven solutions. His talks inspire audiences to embrace the forefront of AI advancements.