You will get a full-stack AI SaaS MVP with FastAPI, Next.js, and GPT-4o agents
Project details
Most businesses have repetitive workflows eating hours every week — data processing, customer follow-ups, report generation, internal ops. I build AI-powered SaaS MVPs that automate these end-to-end, with a clean frontend your team can actually use.
Using FastAPI + Next.js + GPT-4o + LangGraph, I deliver a production-ready web app with an agentic backend that reasons, takes actions, and integrates with your existing tools — not just a chatbot wrapper.
What your MVP will include:
Next.js 14 frontend with auth, dashboard, and chat/agent UI
FastAPI backend with LangGraph agent pipeline
GPT-4o with tool calling, memory, and multi-step reasoning
Database integration (PostgreSQL / MongoDB / Supabase)
REST API + webhook support for third-party integrations
Deployed on AWS / Vercel — ready for real users on day one
Ideal for: Startups validating an AI product idea, businesses automating internal workflows, or founders who need a working demo to raise funding.
I've shipped production AI systems including a conversational ERP agent handling NL queries across 400+ database tables (LangGraph + FastAPI + GPT-4o), and a full event-planning AI concierge (Next.js 14 + FastAPI + Yelp API).
Using FastAPI + Next.js + GPT-4o + LangGraph, I deliver a production-ready web app with an agentic backend that reasons, takes actions, and integrates with your existing tools — not just a chatbot wrapper.
What your MVP will include:
Next.js 14 frontend with auth, dashboard, and chat/agent UI
FastAPI backend with LangGraph agent pipeline
GPT-4o with tool calling, memory, and multi-step reasoning
Database integration (PostgreSQL / MongoDB / Supabase)
REST API + webhook support for third-party integrations
Deployed on AWS / Vercel — ready for real users on day one
Ideal for: Startups validating an AI product idea, businesses automating internal workflows, or founders who need a working demo to raise funding.
I've shipped production AI systems including a conversational ERP agent handling NL queries across 400+ database tables (LangGraph + FastAPI + GPT-4o), and a full event-planning AI concierge (Next.js 14 + FastAPI + Yelp API).
Machine Learning Tools
Azure Machine Learning, GitHub Copilot, KNIME, MATLAB, OpenCV, Python, PyTorch, Sonnet, Stata, Tableau, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 3 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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francine w.
Aug 29, 2024
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Muhammad is a 1st class freelancer! I hired him to help me understand and progress with my work in AI/ML topics. He helped me through several difficult certificates and was very patient with his explanations. I would highly recommend him to anyone! I have always felt that in order to explain a topic to anyone, you need a deep understanding of it yourself. Muhammad has a deep understanding of many topics related to programming and AI. I will hire him again, and encourage others to hire him first!
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Freak M.
Jul 22, 2024
Machine learning final project
About Muhammad
Full Stack AI Engineer Python| React| LLM| RAG | AI Agents
70%
Job Success
Sialkot, Pakistan - 1:00 am local time
FastAPI, and React — shipped, deployed, and running in production, not
sitting in a notebook.
MSc in Artificial Intelligence. 30+ production projects spanning AI-powered
web apps, RAG systems, AI agents, and full-stack platforms — frontend to
backend to cloud.
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⚡ WHAT CLIENTS GET
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→ One engineer who owns the full stack — UI to database to deployment
→ AI features that ship in production — not demos or Colab notebooks
→ Clean code, clear communication, minimal back-and-forth
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🔧 WHAT I BUILD
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🔹 LLM Apps — OpenAI, Claude, Gemini, LLaMA, prompt engineering
🔹 RAG Systems — Pinecone, MongoDB Atlas, FAISS, pgvector, LlamaIndex
🔹 LangChain / LangGraph — AI agents, tool-calling, memory, multi-step reasoning
🔹 Backend — FastAPI, Python, REST APIs, PostgreSQL, MongoDB, Redis
🔹 Frontend — React, Next.js, responsive UI, real-time/streaming interfaces
🔹 Deployment — Docker, AWS (Lambda/EC2/S3), CI/CD, production monitoring
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📦 RECENT RESULTS
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✅ AI Event Planning Platform — FastAPI + Next.js, streaming chat, live
venue search, full booking flow
✅ Automotive AI Assistant — FastAPI + Cosmos DB, personalized chat +
booking integration, deployed end to end
✅ Semantic Profile Search — full-stack matching platform on MongoDB
Atlas vector search
✅ AI Lead Qualification System — multi-agent backend + Salesforce
integration + AWS Lambda → 80% less manual work
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📩 NEXT STEP
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Tell me what you're building — I'll tell you the stack, the timeline,
and what it'll take to get it live.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Tech Spec & Architecture Sign-off
Share your requirements or idea. I'll confirm the stack, agent flow, DB schema, and feature scope before writing any code.
Build, Review & Deploy
I build the FastAPI backend and Next.js frontend, share a working demo mid-way for feedback, then deploy and hand off full source code.