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Fiverr Pro
English
$
USD
I will build ai agent, rag application, or intelligent llm saas
Ali Hamza
About this gig
Looking to supercharge your business or build the next big AI product? I am a Senior Full Stack AI Developer specializing in building autonomous AI Agents, Retrieval-Augmented Generation (RAG) systems, and hyper-efficient workflow automations. I translate complex LLM capabilities into stable, scalable software solutions.
What I Can Do For You:
- AI Agents & Orchestration: Build multi-agent systems and autonomous workflows using LangChain and LangGraph.
- RAG & Semantic Search: Connect your private data (PDFs, DBs, docs) to LLMs using vector databases like Pinecone, Supabase and PGVector.
- Intelligent Automation: Set up advanced business pipelines using n8n, Zapier, and custom API webhooks.
- AI SaaS Applications: Deliver beautiful, responsive full-stack apps embedded with real-time AI chat features.
I combine top-tier AI engineering with a robust architectural backend (NestJS/FastAPI) to ensure your system is fast, secure, and production-ready.
Get to know Ali Hamza
Ali Hamza
Building Scalable Web Apps and AI Products From Idea to Production
- FromPakistan
- Member sinceDec 2019
- Last delivery5 years
Languages
Urdu, English, Hindi
I am a Senior Full Stack Developer and AI Engineer with 6+ years of experience building scalable web, mobile, and AI apps. I specialize in MERN, Next.js, NestJS, and FastAPI for robust architectures. Beyond traditional coding, I design custom AI Agents, RAG systems, LLM integrations, and workflow automations using n8n. Whether you need a high-performance SaaS platform, a smart AI chatbot, complex API integrations, or secure backend infrastructure, I deliver production-ready solutions tailored to your business needs. Let's turn your vision into a reality.
My Portfolio
FAQ
What specific LLMs and AI frameworks do you work with?
I specialize in working with leading models from OpenAI (GPT), Anthropic (Claude), and Google (Gemini). For orchestration and building intelligent workflows, I use LangChain, LangGraph, and MCP (Model Context Protocol) to build reliable, autonomous systems rather than simple wrapper applications.
What is a RAG system and how can it help my business?
RAG connects an LLM to your private business data (PDFs, internal databases, documents). By storing your data as vector embeddings in databases like Pinecone or Supabase, the AI can query your knowledge base to provide highly accurate, context-aware answers without hallucinating.
What is the difference between a simple chatbot and an Agentic AI system?
A basic chatbot relies on direct user prompts and answers one question at a time. An Agentic AI system uses memory, autonomous decision-making loops, and external tools to accomplish a broader objective like researching a topic, updating a CRM, or processing a document without human intervention.
Can you integrate AI workflows into my existing tools?
Yes. I build advanced automation pipelines using n8n, Zapier, and custom webhooks to seamlessly connect your AI infrastructure with third-party software, internal databases, payment portals, or communication channels like Slack and WhatsApp.
Do you provide the API keys and cloud hosting?
No, you will need to provide your own API accounts (OpenAI, Claude, etc.) and cloud infrastructure (AWS, Vercel, Supabase). However, I will completely guide you through the process of setting them up securely so that your production credentials remain safe and private.
