Muhammad Ahtesham U.

I build production AI agents and RAG pipelines that hold up on real enterprise data. Recent work: cut research time 80% for a Luxembourg fund manager, lifted reply rates 17% for a sales team, and shipped AI tooling on a platform serving Walmart. Most AI projects don't fail at the model. They fail at the integration layer, the agent works in the demo, then breaks on messy documents, edge cases, or scale. That gap is where I work. Most of my work is off-platform and long-term, which is why my Upwork hours are low. I'm new here, not new to this. WHAT I BUILD Agentic workflows and multi-agent systems, autonomous pipelines that make real decisions, run a workflow end to end, and know when to escalate to a human. Built on LangGraph, LangChain, and LlamaIndex with deterministic routing rather than guesswork. Enterprise RAG: pipelines retrieval connected to real sources (PDFs, email, databases, APIs), tuned for accuracy and data security. Not a vector search demo. Full-stack AI SaaS: React and Next.js front ends over Python APIs (FastAPI, Django), multi-tenant architecture, and Celery plus Redis for async AI jobs. Enterprise integrations: agents that live inside the tools a business already runs: Microsoft Graph and Outlook, Google Workspace, Jira, WhatsApp Business, Stripe. RECENT RESULTS Nexusaims (fintech / asset management) architected an AI investment research suite for a Luxembourg fund manager, unifying unstructured documents, email, and financial records into a single agent pipeline. Cut fund research time by 80%. Engage3 (sales tech) built an AI outreach engine that researches prospects and generates personalized email and LinkedIn sequences. Deployed to an 8-person sales team; reply rates up 17%. Dexi (retail intelligence) senior technical IC on a web-scraping and data platform serving enterprise clients including Walmart. Owned integrations, content pipelines, and AI tooling. STACK Python, FastAPI, Django, LangGraph, LangChain, LlamaIndex, Pinecone, Weaviate, OpenAI, Claude, React, Next.js, TypeScript, AWS, Docker, Terraform, n8n. If your AI project is stalled because the agent is clever but the data layer isn't holding up, that's usually where I help most. Message me for a 15-minute technical scoping call.