Uzair I.

Do you have repetitive business work that should run on its own while your team focuses on growth? Send me one process you want automated and I'll reply with a free walkthrough of how I would build it. If I think automation is the wrong answer for you, I'll say so. I'm an AI automation engineer and AI developer with 14+ years of software engineering experience. I build AI agents, RAG systems, LLM applications and n8n, Make and Zapier automations, and I back them with production backend engineering (Python, FastAPI, AWS) so they keep working after the demo. What I build • AI agents and multi-agent workflows (LangGraph, LangChain, MCP servers, OpenAI, Claude and Gemini APIs) • RAG systems and AI knowledge bases: document Q&A, semantic search, vector databases • n8n, Make and Zapier automations: CRM, lead qualification, webhooks, third-party APIs • Backend APIs and SaaS platforms: Python, FastAPI, Node.js, PostgreSQL, Docker, AWS Recent work • Wellows: solutions architect for a multi-agent LLM platform (LangGraph, Qdrant, FastAPI, AWS). Three production agents, 80% fewer manual workflow steps, under 200 ms vector retrieval. • Production RAG reference implementation (public on GitHub): hybrid retrieval, reranking, cited answers, and a CI gate on Recall@5 and MRR so a retrieval regression blocks the release. • ClassFlow: lead architect for a live tutoring marketplace. Matching under 100 ms and zero double-bookings under registration surges. • Savyour: solutions architect for a fintech ledger handling 5,000+ simultaneous partner webhook hits, with idempotent processing so no event is credited twice. How I work I start from the business problem, not the tool: define what success looks like, design the architecture, build it, test it and hand it over documented. Retries, error handling and monitoring go into every system, because that is the difference between automation that demos and automation you can forget about. Stack AI and agents: LangGraph, LangChain, MCP, OpenAI API, Claude API, Gemini, prompt engineering, vector databases (Qdrant, pgvector) Automation: n8n, Make, Zapier, webhooks, API integration, CRM automation Development: Python, FastAPI, Node.js, React, TypeScript, PostgreSQL, MongoDB Cloud: AWS, Docker, microservices, CI/CD Based in Karachi (UTC+5), available 30+ hours a week, fluent English. Message me the one thing your team does by hand every week that you most wish they didn't.