Vaishnavi Yeruva is an AI engineer and technical lead with deep expertise in agentic AI systems, large language models, and machine learning at scale. With a strong academic foundation in artificial intelligence from Northwestern University and research experience at the Indian Institute of Science, she has published work at leading international conferences, including INTERSPEECH, ICANN, and IEEE, and has spent more than eight years building AI systems that serve hundreds of millions of users across financial services, technology, telecom, and healthcare.
Her experience spans architecting agentic LLM systems for Fortune 500 clients, from multi-agent orchestration and MCP-integrated developer workflows to evaluation, guardrails, and observability. She has re-engineered software development pipelines that cut feature delivery time from one week to one day, and designed AI-driven diagnostic systems for large-scale network and video performance analysis.
And these are just a few areas of her work that bring significant value and demonstrate her contribution to bridging AI research and production, advancing the standards of agentic AI, and supporting innovation across technology-driven industries.