Akshit G.

AI Agent & Automation Engineer | OpenAI | LangGraph | n8n | FastAPI |

Most AI projects fail after the demo. The chatbot answers a few questions, but breaks when connected to real users, business data, APIs, or existing workflows. I build production AI agents that businesses can actually use. My focus isn't on creating another chatbot—it's on designing reliable AI agent systems that automate real business processes, make intelligent decisions, retrieve the right information, interact with external tools, and operate with the guardrails needed for production environments. Over the past few years, I've built AI agent systems across healthcare, recruitment, e-commerce, and customer operations, including: • A 12-agent healthcare platform with intelligent routing, targeted RAG, and safety validation that provides specialised health coaching while maintaining strict medical boundaries. • A sports marketing agent swarm that monitors live events, generates AI content, validates compliance, publishes campaigns, captures leads, and manages customer conversations from first interaction through personalised content delivery. • A production RAG agent that helps users discover mental health treatment centres through hybrid retrieval, conversational search, and structured filtering over a verified knowledge base. I typically help clients with: ✓ AI Agent Architecture ✓ Multi-Agent Systems ✓ LangGraph Workflows ✓ Production RAG ✓ Tool Calling & MCP Integrations ✓ AI Workflow Automation ✓ FastAPI Backends My stack includes OpenAI, LangGraph, FastAPI, Python, Qdrant, Azure AI Search, PostgreSQL, Docker, n8n, and Make. If you're building an AI product and need an engineer who understands how to move from prototype to production, I'd be happy to discuss your project