Anjali Gugle is a data engineering and AI infrastructure leader with 20+ years building modern data platforms that enable responsible, scaled AI. As Leader, Data & Analytics – Cisco IT AI-First Engineering, she architects LLMOps systems, data infrastructure, and analytics foundations that unlock generative AI while maintaining governance, security, and ethical integrity.
Her core expertise centers on engineering resilient data architectures that serve as the backbone for AI—from federated data governance and cloud-native platforms to intelligent workload orchestration and synthetic data generation for responsible AI testing. Anjali has transformed eCommerce, networking, and wireless organizations by building data engineering practices that simultaneously advance security, governance, and AI readiness.
Anjali’s team developed Stellaris, a Constellation award-winning Data Product Platform enabling safe AI operationalization at scale while maintaining data quality, provenance, and ethical standards. She holds a patent for intelligent workload scheduling optimized for AI compute and mentors engineering leaders building AI-ready infrastructures.
She is a speaker at industry conferences including RSA, ISC², IAPP, DPE, and CCE, where she shares insights on data engineering practices, LLMOps infrastructure, responsible AI operationalization, and enterprise data architecture innovation.
