I build enterprise-scale AI solutions, cloud-native platforms, and distributed systems.

I've worked across backend engineering, cloud modernization, performance engineering, database optimization, automation, and AI-driven systems. My work has evolved from building scalable backend services and cloud infrastructure to leading R&D initiatives focused on Agentic AI, enterprise RAG, intelligent document processing, and technical delivery.

Currently, I lead R&D efforts exploring practical applications of Agentic AI, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and enterprise automation.

• Agentic AI Systems
• Multi-Agent Orchestration
• Retrieval-Augmented Generation (RAG)
• Enterprise Knowledge Systems
• Intelligent Document Processing
• Cloud-Native Architectures
• Performance Engineering
• Technical Delivery & Solution Architecture

• Led R&D initiatives focused on Agentic AI and enterprise automation.
• Built proof-of-concept systems using Microsoft Agent Framework (MSAF).
• Designed and optimized advanced RAG pipelines with semantic retrieval and contextual filtering.
• Established organization-wide performance engineering practices using k6 and Grafana.
• Led cloud modernization and database migration initiatives.
• Built Azure DevOps analytics and reporting platforms.
• Mentored engineers and supported technical growth across teams.
• Delivered client-facing technical demonstrations and solution architecture discussions.

• Enterprise Agentic AI Architectures
• Multi-Agent Orchestration Patterns
• Advanced RAG Optimization
• MCP Integrations
• AI-Powered Document Intelligence
• Knowledge-Centric AI Systems

• LinkedIn: https://www.linkedin.com/in/manjunadh-reddy-parupati
• GitHub: https://github.com/manjunadh-reddy-parupati

Building practical AI systems that balance innovation, scalability, and real-world business value.