Narayan Panigrahy

About Narayan Panigrahy

Senior AI Engineer with expertise in building secure, scalable Agentic AI systems and RAG pipelines. I specialize in designing multi-agent orchestration frameworks, fine-tuning Small Language Models (SLMs) for edge efficiency, and implementing Model Context Protocols (MCP) that transform IT operations.Currently at Capgemini, I engineer autonomous agents that validate changes and resolve errors, reducing MTTD by 75% via fine-tuned SLMs and RAG.Beyond corporate work,I founded ShunyaAI (shunyaai.org), an innovation hub where I build open-source tools to bridge the gap between AI and infrastructure.What I bring to the table:Agentic Workflows: Expertise in LangGraph and MCP to build autonomous agents for ITSM (ServiceNow).Performance: Reduced Mean Time To Detect (MTTD) by 75% using local SLM inference.Innovation: Creator of Snow-MCP and Xray Vision (Medical CV) under ShunyaAITechnical Stack:Agent Frameworks: LangChain, LangGraph, ReAct Patterns, Model Context Protocol (MCP).Generative AI: RAG, Fine-tuning (QLora), SLMs (Phi/Mistral), LLMs (Azure OpenAI, Bedrock, Claude).Data & Vector: Qdrant, ChromaDB, Polars, PostgreSQL, Neo4j.Engineering: Python, FastAPI, Docker, CUDA, CI/CD.I am available to join immediately and eager to contribute to a team building the next generation of Agentic AI and Generative AI.

Experience

1. Senior Engineer

   Nagarro

   Jan 2026 — Present · Pune, IN

Education

• Centurion University of Technology and Management

  Bachelor's degree, Computer Science

  2018 — 2022