You will get A RAG pipeline with AI trained on your own documents
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Top Rated
Project details
Hi, I'm Mujtaba (AIOVIX). I've shipped RAG pipelines for SaaS, legal, healthcare, and agency teams. Most tried ChatGPT first, got burned by hallucinations, and came to me for something that cites its sources.
WHAT RAG SOLVES
• Stops ChatGPT making things up. Every answer cites the source.
• Works on your docs: PDFs, Notion, Confluence, Drive, SQL.
• Stays current. New docs get indexed automatically.
• Scales to 10,000+ docs without blowing up cost.
WHAT I BUILD
• Document ingestion (PDF, HTML, Notion, Drive, S3)
• Embedding and chunking tuned to your content
• Vector store (Pinecone, Weaviate, ChromaDB, Qdrant)
• Retrieval with hybrid search and re ranking
• Citation first chat UI (every claim links to its source)
• Deployed to your infra or mine
USE CASES
• SaaS: assistant on product docs and support tickets
• Legal: search and summarize contracts with citations
• Healthcare: clinical assistant on your protocols
• Agencies: AI on client SOPs and past proposals
WHY ME
• Built RAG live in production, not demos
• I handle the ugly parts: PDF parsing, chunking, evals
• Honest about what RAG can and can't do
Order a tier or message me for a custom scope.
WHAT RAG SOLVES
• Stops ChatGPT making things up. Every answer cites the source.
• Works on your docs: PDFs, Notion, Confluence, Drive, SQL.
• Stays current. New docs get indexed automatically.
• Scales to 10,000+ docs without blowing up cost.
WHAT I BUILD
• Document ingestion (PDF, HTML, Notion, Drive, S3)
• Embedding and chunking tuned to your content
• Vector store (Pinecone, Weaviate, ChromaDB, Qdrant)
• Retrieval with hybrid search and re ranking
• Citation first chat UI (every claim links to its source)
• Deployed to your infra or mine
USE CASES
• SaaS: assistant on product docs and support tickets
• Legal: search and summarize contracts with citations
• Healthcare: clinical assistant on your protocols
• Agencies: AI on client SOPs and past proposals
WHY ME
• Built RAG live in production, not demos
• I handle the ugly parts: PDF parsing, chunking, evals
• Honest about what RAG can and can't do
Order a tier or message me for a custom scope.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Regression Analysis, Self-Organizing MapAI Applications
AI Text-to-Image, AI-Enhanced Classification, Image Analysis, Image Processing, Image Recognition, Image Upscaling, Natural Language Understanding, Object Detection, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 20 days |
Number of Revisions | 10 | 20 | 30 |
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 |
Frequently asked questions
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DR
David R.
Jun 9, 2026
Lightweight AI Deal Flow Dashboard
Mujtaba was great to work with! Fast, responsive, great work.
BR
Ben R.
Jun 8, 2026
HVAC Pricing & Installation Builder App – Full Build
Mujtaba has worked on several projects with me, he is a true professional who deeply cares about the quality of work he puts out. I’d highly recommend him.
TN
Thao Nhi N.
Jun 8, 2026
AI Automation/Engineering for Restaurant Marketing
Discovering Mujtaba has been a huge win for our team. He has been nothing but professional, extremely knowledgable, efficient with dev and solutions and great with communication. I would highly recommend him for your project. I look forward to working with him again on our next milestones.
PG
Pau G.
Jun 2, 2026
AI-Native Full-Stack Developer - Initial Test Project for SaaS Platform (Prototype → Production)
SC
Steve C.
May 24, 2026
MVP Development for SaaS Platform with AI Features
About Mujtaba
Full Stack AI Engineer | SaaS, MVP, AI Agents, RAG, MCP, Voice AI
100%
Job Success
Lahore, Pakistan - 3:07 am local time
I build AI products that survive real users, real data, and real business workflows: SaaS MVPs, AI agents, RAG systems, voice AI, and automation inside existing products.
⭐ Top Rated Plus | Top 3% of performers on Upwork
✅ 10+ years building SaaS and AI products | 100+ projects delivered
✅ AI that ships: RAG, AI agents, MCP, Voice AI, LLM integration
✅ Full stack: Next.js, React, TypeScript, Python, Node.js, PostgreSQL, AWS
✅ SaaS, MVPs, automation, fintech, healthcare, construction, legal tech, and sales products
You can hire me when:
- You need one AI feature added to an existing app
- You want OpenAI, Claude, Gemini, or MCP integrated into your product
- You need a RAG system over PDFs, documents, knowledge bases, or internal data
- You want a voice AI agent for calls, bookings, lead qualification, or CRM updates
- You have a workflow involving documents, calls, follow-ups, data entry, or reporting that should be automated
- Your MVP is half-built, buggy, slow, or stuck before launch
- You need someone to build a full SaaS product from idea to deployment
I work well on both small and large projects. If the right first step is a quick audit, prototype, bug fix, integration, or one-week milestone, I will tell you that. If the project needs a full build, I can own the architecture, frontend, backend, AI layer, deployment, and documentation.
The part most AI freelancers skip: AI is rarely the whole product. It usually needs a backend, dashboard, auth, billing, permissions, logs, human review, and deployment around it. I build both the AI layer and the product around it.
WHAT I DO:
- AI SaaS & MVP builds: idea to deployed product with auth, billing, dashboards, and AI layer
- AI inside existing products: RAG, agents, MCP, LLM features, document AI, and automation
- Voice AI: agents that answer calls, book appointments, qualify leads, and log to your CRM
- RAG and document AI: source-grounded answers, OCR, extraction, citations, and review queues
- Workflow automation: documents, follow-ups, data entry, reporting, and API integrations
- Rescue & ship: half-built MVPs refactored, hardened, and launched
RECENT DELIVERIES:
- AI sales CRM: call transcription, follow-up automation, multi-tenant pipelines
- RAG document platform with every answer cited to source
- AI financial intelligence platform: open banking + accounting sync into one ledger
- AI voice agents for healthcare and sales, answering real calls daily
- Turnkey B2B SaaS platform for the construction industry, end to end
HOW I WORK:
- I start by understanding the workflow, users, data, and business goal
- I suggest the smallest useful first milestone when possible
- I scope clearly before code is written, so you know cost and timeline up front
- I can work on focused tasks, short prototypes, rescue work, or full product builds
- I work full time on Upwork with overlap for US and European business hours
If you need one AI feature, a quick prototype, a stuck MVP fixed, or a full SaaS product built, send me a short description of what you have and what you want it to do.
I will reply with the clearest next step, the likely scope, and the first milestone I would recommend.
Tech Stack:
AI and LLM: OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, MCP, function calling, model routing
RAG and vector search: RAG pipelines, embeddings, semantic search, pgvector, Pinecone, document AI, OCR
AI agents and automation: multi-agent systems, AI copilots, workflow automation, document extraction with review queues
AI reliability: evaluation sets, hallucination reduction, human-in-the-loop workflows
Voice AI: Vapi, Retell, ElevenLabs, Deepgram, OpenAI Realtime, Twilio
Frontend: Next.js, React, TypeScript, Tailwind CSS, React Native
Backend: Node.js, Python, FastAPI, REST and GraphQL APIs, WebSockets
Databases: PostgreSQL, Supabase, Redis, MongoDB
SaaS architecture: multi-tenant, tenant isolation, RBAC, Stripe billing, admin dashboards
Cloud and DevOps: AWS, Docker, Vercel, CI/CD, monitoring
Security and compliance: OAuth2, JWT, encryption, audit logs, HIPAA-aware builds, KYC/AML flows
Integrations: Stripe, Plaid, open banking APIs, QuickBooks, Xero, Twilio, CRMs, ERPs
Industries: AI SaaS, AI agents, document AI, RAG, FinTech, open banking, healthcare, B2B SaaS, startup MVPs, construction tech, legal tech, sales and CRM automation, voice AI, recruiting
Steps for completing your project
After purchasing the project, send requirements so Mujtaba can start the project.
Delivery time starts when Mujtaba receives requirements from you.
Mujtaba works on your project following the steps below.
Revisions may occur after the delivery date.
Data audit and eval question set
I review your sources, pick chunking and embedding that fits your content, and lock a set of 10 to 20 questions the pipeline must answer well. Approved before any code ships.
Ingest, embed, and store
Document ingestion pipeline (PDF, HTML, Notion, Drive, S3, DB), embedding pipeline (OpenAI or open source), and vector store (Pinecone, Weaviate, ChromaDB, or Qdrant) loaded with your data.