You will get Custom RAG-Based AI Powered SaaS Full-Stack Web Application
Rising Talent
Rising Talent
Project details
Most RAG apps fail outside the demo. Large documents, complex queries, real users - they break fast.
This project delivers a custom RAG-based AI SaaS application that lets your users query their own documents, databases, or knowledge bases in natural language - with source-grounded answers and no hallucinations.
Built on a stack that shipped to 15,000+ users at Mahaana Wealth (Y Combinator W22). Not a tutorial clone. Real production architecture from day one.
What sets this apart is not the tech stack. It is the engineering judgment behind it. Chunking strategies tuned to your document size. Retrieval pipelines optimized for precision. A React.js frontend built for real users, not a dev demo. FastAPI backends with clean API contracts and full Swagger documentation. Full source code delivered on every engagement.
Stack: Next.js, React.js, FastAPI, Python, LangChain, OpenAI API, PostgreSQL, Vector Database, AWS.
Message with your use case and document type. Technical scope returned in 24 hours.
This project delivers a custom RAG-based AI SaaS application that lets your users query their own documents, databases, or knowledge bases in natural language - with source-grounded answers and no hallucinations.
Built on a stack that shipped to 15,000+ users at Mahaana Wealth (Y Combinator W22). Not a tutorial clone. Real production architecture from day one.
What sets this apart is not the tech stack. It is the engineering judgment behind it. Chunking strategies tuned to your document size. Retrieval pipelines optimized for precision. A React.js frontend built for real users, not a dev demo. FastAPI backends with clean API contracts and full Swagger documentation. Full source code delivered on every engagement.
Stack: Next.js, React.js, FastAPI, Python, LangChain, OpenAI API, PostgreSQL, Vector Database, AWS.
Message with your use case and document type. Technical scope returned in 24 hours.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 18 days |
Number of Revisions | 1 | 2 | 5 |
Number of Pages | 1 | 3 | 10 |
Design Customization | - | ||
Content Upload | - | ||
Responsive Design | |||
Source Code |
About Muhammad
Full-Stack AI Engineer | Generative & Agentic AI | MVP & SaaS Apps
Karachi, Pakistan - 1:23 pm local time
What I Build:
- Full-Stack AI Powered Custom Web Applications For Startups
- Agentic AI workflows (LangChain, LangGraph, tool use, multi-step reasoning)
- User onboarding workflows, web portals, dashboard, and payment integration systems
- RAG based systems & vector search (Pinecone, Weaviate, FAISS, ChromaDB, PGVector)
- Conversational AI & intelligent chatbots (context-aware, real business logic)
- Core frontend development with performance optimisation and smooth UI/UX
- Development of microservices architecture with implementation of right software design patterns
- Deployment of applications on cloud infrastructure using Vercel, AWS, Azure, Cloudflare
Which technologies I use to build:
Python • LangChain • LangGraph • OpenAI • React.js • Next.js • Vector Databases • Hugging Face • RunPod • MCP Servers • Node.js • Nest.js • FastAPI • Vercel • AWS • RabbitMQ • SQL • MongoDB • TypeScript • OpenAI Chat Completions API • Groq Inference Engine • Cloudflare
Recent Milestones & Impact:
📈 Architected the customer and corporate frontends for a Y Combinator-backed digital Asset Management Company, increasing pension onboarding throughput by 70%.
⚡ Led the development of Automily, a Generative AI test-authoring platform, reducing manual QA test-writing effort by 50%.
🏆 Placed in the top tier of multiple national hackathons, including the PEC National Hackathon and BWAI Hackathon, by developing advanced LLM agents and AI mentoring assistants.
Let's connect to discuss how we can turn your manual processes into automated workflows or build your next scalable web application powered by AI.
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.
Understand the project scope and its requirements
Design an implementation plan for the project