Arif Ahmad Khan

I’m an AI Engineer focused on agentic AI & LLM systems, building Retrieval Augmented Generation (RAG) and vector-database grounded applications that work reliably in real-world operations. I turn complex requirements into production-ready AI agents, intelligent chatbots, and multi-agent workflows designed for measurable outcomes.

In my current role as an AI Automation Engineer & Cloud Assistant, I build and manage automation workflows using Microsoft Power Automate and the Power Platform to optimize enterprise operations. I also support cloud infrastructure on Microsoft Azure and develop AI-powered virtual agents with Power Virtual Agents, implementing AI-driven process automation and intelligent assistants to streamline internal workstreams.

My technical depth spans multi-agent orchestration with LangGraph and LangChain, scalable APIs with FastAPI, and enterprise AI assistants grounded in vector databases. I’ve delivered end-to-end systems integrating orchestration and automation tools like n8n, Zapier, and Microsoft Power Automate, plus CI/CD pipelines with Azure DevOps to keep deployments consistent.

I bring a practical, engineering-first mindset through projects like ContractIQ (a Zero-Hallucination multi-agent system for legal agreement risk reasoning), VivaGraph AI (a 7-agent platform with real-time voice analysis and dynamic difficulty adjustment), and SalesAI (FastAPI-based B2B automation coordinating sub-agents to reduce manual research time by 60%). I’m especially passionate about combining RAG, tool integration, and multi-agent reasoning—so my agents can verify, extract, and act with confidence.