You will get an AI Agent or RAG Chatbot built for your business
Project details
Looking for an AI chatbot or RAG pipeline that works in production, not just a demo?
I build custom Retrieval-Augmented Generation (RAG) systems and AI agents that accurately answer questions from your own data — including documents, PDFs, databases, or URLs, using GPT-4, Claude, and LLaMA.
What makes my builds different:
— Production-ready, not a prototype
— Semantic search via Qdrant / Pinecone or Chroma
— Conversational memory for multi-turn chat
— Clean, documented, maintainable code
— Deployed and live, not just localhost
I've built:
✅ Multilingual RAG platform (9 microservices, AWS ECS)
✅ Domain-specific RAG chatbot with OpenAI embeddings
✅ Active RAG pipeline for a SaaS client (live on Upwork)
Packages:
→ Starter: Single source RAG chatbot
→ Standard: Multi-source RAG + AI Agent with deployment
→ Advanced: Full AI SaaS with auth, dashboard, monitoring
Whether you're a startup needing an MVP or an established business automating workflows with AI — I'll ship it fast, clean, and scalable.
📩 Message me with what you're building before ordering — I'll confirm scope and timeline within a few hours.
I build custom Retrieval-Augmented Generation (RAG) systems and AI agents that accurately answer questions from your own data — including documents, PDFs, databases, or URLs, using GPT-4, Claude, and LLaMA.
What makes my builds different:
— Production-ready, not a prototype
— Semantic search via Qdrant / Pinecone or Chroma
— Conversational memory for multi-turn chat
— Clean, documented, maintainable code
— Deployed and live, not just localhost
I've built:
✅ Multilingual RAG platform (9 microservices, AWS ECS)
✅ Domain-specific RAG chatbot with OpenAI embeddings
✅ Active RAG pipeline for a SaaS client (live on Upwork)
Packages:
→ Starter: Single source RAG chatbot
→ Standard: Multi-source RAG + AI Agent with deployment
→ Advanced: Full AI SaaS with auth, dashboard, monitoring
Whether you're a startup needing an MVP or an established business automating workflows with AI — I'll ship it fast, clean, and scalable.
📩 Message me with what you're building before ordering — I'll confirm scope and timeline within a few hours.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Gradio, Hugging FaceAI Models
BERT, ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$400
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Multi Lingual Support
(+ 3 Days)
+$150
Third Party integrations
(+ 1 Day)
+$80
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MU
Muhammad Saim U.
Jun 18, 2026
Build AI-Powered Document Q&A Module with RAG Pipeline for SaaS Platform
Umar did a great job. He understood what we needed without much back and forth, delivered on time, and the code was clean and easy for us to work with. README was clear too which saved us time.
Good communicator kept me in the loop throughout. Would hire again for future development work.
Good communicator kept me in the loop throughout. Would hire again for future development work.
About Umar
SaaS Developer & AI Engineer | Agents | Full Stack MVP Specialist
Lahore, Pakistan - 10:23 am local time
Over the past 4+ years, I've helped startups and growing companies ship production-ready MVPs and full-scale platforms, from the initial architecture decision to a deployed, monitored, and production-ready system. My work sits at the intersection of clean engineering and real business outcomes: not just code that runs, but software that handles real users, real load, and real edge cases.
💼 What I've delivered as a SaaS developer:
✅ Multi-tenant SaaS platforms with clean data separation, user management, and billing built in from day one
✅ AI agent systems and RAG pipelines that give products an intelligent, conversational layer
✅ Business operations tools, ERP, CRM, booking and scheduling that replace spreadsheet chaos with one clean dashboard
✅ Real-time platforms with live updates, WebSocket-powered notifications, and instant data
✅ Payment systems, subscription flows, and third-party integrations engineered to handle edge cases reliably
🤝 How I work:
→ Every project starts with understanding your business problem, not just the feature list
→ You get a clear plan, timeline, and cost estimate before any code is written
→ I communicate proactively, you're never left wondering what's happening
→ I write clean, documented code your team can maintain after I'm done
→ I build for 10x your current users, not just today's load
🎯 Right fit if you need:
→ A SaaS MVP shipped in weeks, not months
→ An AI agent or intelligent feature integrated into an existing platform
→ A SaaS developer who thinks in products, not just tickets
→ Someone who treats your project as a business investment
⚙️ Tech stack: Next.js · React · Node.js · NestJS · PostgreSQL · MongoDB · TypeScript · Tailwind CSS · REST & GraphQL APIs · Redis · Docker · AWS · Stripe · WebSockets · LangChain · OpenAI API · Qdrant · JWT/OAuth
📩 Send me a brief on what you're building and your biggest challenge right now. I'll reply within a few hours with a clear plan.
Steps for completing your project
After purchasing the project, send requirements so Umar can start the project.
Delivery time starts when Umar receives requirements from you.
Umar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Planning
Review your requirements, finalize scope, define data sources, select tech stack, and share a clear delivery plan before writing any code.
Data Cleaning
If the data is already collected from sources like Kaggle, it may require data cleaning before embed.