Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/ai-driven-architecture-at-scale-the-ravi-teja-pagidoju-approach-to-industrial-efficiency.
AI systems architect Ravi Teja Pagidoju builds scalable, high-impact platforms that transform retail, healthcare, and telecom efficiency.
Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #cloud-native-microservices, #constrained-optimization-ai, #large-scale-retail-engineering, #ai-driven-system-architecture, #generative-ai-retail-layouts, #telecom-scheduling-automation, #enterprise-optimization, #good-company, and more.

This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.

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.