AI-Driven Architecture at Scale: The Ravi Teja Pagidoju Approach to Industrial Efficiency

Ravi Teja Pagidoju designs AI-driven, cloud-native systems that eliminate inefficiency across retail, healthcare, and telecom. His contributions include diffusion-based planogram generation, enterprise optimization engines, real-time healthcare authorization systems, and large-scale microservice architectures used across thousands of locations. His work blends deep algorithmic rigor with practical, human-centric design.