This session will address the technical challenges of deploying AI agents in real-world environments. Key topics include: Architecting scalable, robust infrastructures. Optimizing performance through advanced tuning strategies. Efficient deployment techniques to manage costs and reduce latency. Building monitoring pipelines to track behavior and handle model drift.
Audience Takeaway: Engineers will leave with practical strategies for designing and deploying AI agents that are scalable, reliable, and efficient, preparing them to tackle the unique challenges of production systems in 2025.
Aishwarya leads Developer Relations & Growth at Fireworks AI, an inference platform. She was previously a Senior AI Advisor at Microsoft for Startups, where she helped Y Combinator startups build machine learning solutions leveraging Microsoft and OpenAI products.
Prior to Microsoft, she worked as a Data Scientist at Google Cloud and an AI & ML Innovation Leader at IBM Data & AI. She holds a post-graduate degree in Data Science from Columbia University.
Aishwarya is an advocate for open-source technologies, and has served as a Developer Advocate for Deepchecks and Lightning AI, and a contributor to Scikit-learn. In 2022, she was named Trailblazer of the Year by Women in AI and a Woman of Influence by The Silicon Valley Business Journal. She was awarded an EB1A green card for extraordinary ability in AI.