Mikiko Chandrasekhar

Mikiko Chandrasekhar, a Staff Developer Advocate at MongoDB, brings her expertise in the data-to-AI pipeline to the discussion on mastering multi-agent systems. She highlights the importance of reliability in AI agents, advocating for treating them as software products. The conversation delves into MongoDB’s role in supporting generative applications and discusses the need for robust debugging tools and systematic evaluation for agent performance. Mikiko also emphasizes the significance of balancing qualitative insights with quantitative metrics for effective AI development.