Arnav Sharma

WORK HISTORY

EDUCATION

ABOUT ARNAV SHARMA

I specialize in building Agentic AI systems that move beyond single prompts to autonomous, goal-driven workflows.My work focuses on designing multi-agent architectures where AI agents collaborate, reason, retrieve information, and execute tasks through structured workflows.What I build:Autonomous multi-agent systems (Supervisor, Router, and QC agents)End-to-end LLM pipelines with memory, tool use, and decision logicRetrieval-Augmented Generation (RAG) systems for grounded responsesScalable AI workflows using LangGraph, LangChain, and LangFlowModel Context Protocol (MCP) integrationsToken optimization, prompt engineering, and cost-efficient architecturesI’m passionate about creating production-ready AI systems that automate real-world processes, improve decision-making, and enable intelligent human–AI collaboration.