Summary
Naresh Ganesan is an Applied AI Architect with 13 years of experience designing and delivering cloud-native, scalable AI systems across telecom, retail, privacy, and video intelligence domains. He has led teams to productionize generative AI assistants, document-understanding platforms, knowledge graphs, rule/reasoning engines, and DAG-based workflow orchestration at scale, with strong expertise in Kubernetes, service mesh, and GPU/CPU model deployment. His background spans startups and large enterprises where he built privacy-first PII tagging, automated data extraction, and near-real-time event processing pipelines. Known for turning complex business workflows into composable distributed functions, he combines deep learning model know-how with pragmatic platform engineering. Based in Bengaluru, he pairs an MS in Information Systems with hands-on architecture experience that bridges research models and production-grade systems.
13 years of coding experience
10 years of employment as a software developer
The University of Arizona
Bachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Anna University Chennai