Muhammad A.
Full Stack AI Developer | LLM | RAG | AI Agents | Claude | GPT-4
๐ง๐ผ๐ฝ ๐ฅ๐ฎ๐๐ฒ๐ฑ ๐ฃ๐น๐๐ | ๐ญ๐ฌ๐ฌ% ๐๐ฆ๐ฆ | $๐ญ4๐ฌ๐+ ๐๐ฎ๐ฟ๐ป๐ฒ๐ฑ | ๐ฑ๐ฏ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ | ๐๐๐ฒ๐ฟ๐ ๐ข๐ป๐ฒ ๐ฎ๐ ๐ฑ ๐ฆ๐๐ฎ๐ฟ๐ ๐ช๐ต๐ฎ๐ ๐ ๐ฏ๐๐ถ๐น๐ฑ: - AI Agents: Autonomous systems that call APIs, process your business data, and complete multi-step tasks on their own. Built with LangChain, Claude, GPT-4, and CrewAI. - RAG Systems: Your documents and internal data turned into something your team can actually query. Pinecone, vector search, grounded responses. - Full-Stack AI SaaS: React, Next.js, Node.js, Python backend. From architecture to deployed app. - Workflow Automation: n8n and Make automations that cut manual work across your stack. CRM, Slack, email, reporting. ๐๐ ๐ฆ๐๐ฎ๐ฐ๐ธ: - Agents: LangChain, CrewAI, Claude, GPT-4, LangGraph, OpenAI API - RAG: Pinecone, Qdrant, FAISS, vector embeddings, semantic search - Full-Stack: React, Next.js, Node.js, Python, FastAPI, Supabase, Django - Automation: n8n, Make, Zapier, webhooks ๐ฅ๐ฒ๐ฐ๐ฒ๐ป๐ ๐๐ผ๐ฟ๐ธ: - Farmhand AI platform. RAG agent processes GBs of farm data per account, cuts LLM hallucinations by 90%. Flutter, Django, Python, John Deere API integration. Live in production. - Hyvara AI sales agent. Reduced manual lead tracking by 60%, improved sales pipeline efficiency by 89%. RAG, LangChain, deployed for a US client. - SwiftSales AI SaaS. Automated 80% of manual support and CRM lead tracking across multiple business accounts. GPT-4, vector search, multi-tenant architecture. - HIPAA-compliant patient data ecosystem. Fully automated clinical notes and practitioner recommendations using GPT-4. Built for a US healthcare client. ๐๐ผ๐ผ๐ฑ ๐ณ๐ถ๐ ๐ถ๐ณ: - You are building AI into your core product - You need one person to own the whole build, not three freelancers - You want something that runs in production, not just looks good in a demo Not the right fit for quick fixes or small one-off tasks. Message me with what you are building. I reply within 4 hours.