You will get a 5-Stage OCR to RAG Document Processing Pipeline
Top Rated
Top Rated
Project details
Turn scanned documents into clean, searchable, AI-ready data — not a pile of unstructured text.
I build five-stage OCR pipelines: PDF-to-image conversion, image preprocessing (deskew, cleanup), OCR text extraction, postprocessing, and structured chunking, so the output is ready to feed directly into a RAG system, a search index, or a database — not just a raw text dump.
What you get:
A pipeline tuned to your specific document type (I don't run one generic script on everything — quality varies wildly by source)
Clean, structured JSON output ready for vector-store ingestion or database import
Source code you own, so you can run it on new documents yourself going forward
Documentation of accuracy limitations, honestly reported (OCR isn't perfect, and I'll tell you where it struggles)
Process: review sample documents → build and tune the pipeline against your actual samples → validate output quality with you → deliver source code and documentation.
Top Rated on Upwork. Send me a sample of what you're working with and I'll give you a realistic accuracy estimate before you order.
I build five-stage OCR pipelines: PDF-to-image conversion, image preprocessing (deskew, cleanup), OCR text extraction, postprocessing, and structured chunking, so the output is ready to feed directly into a RAG system, a search index, or a database — not just a raw text dump.
What you get:
A pipeline tuned to your specific document type (I don't run one generic script on everything — quality varies wildly by source)
Clean, structured JSON output ready for vector-store ingestion or database import
Source code you own, so you can run it on new documents yourself going forward
Documentation of accuracy limitations, honestly reported (OCR isn't perfect, and I'll tell you where it struggles)
Process: review sample documents → build and tune the pipeline against your actual samples → validate output quality with you → deliver source code and documentation.
Top Rated on Upwork. Send me a sample of what you're working with and I'll give you a realistic accuracy estimate before you order.
What's included
| Service Tiers |
Starter
$550
|
Standard
$1,100
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 4 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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JD
Jackson D.
Jul 28, 2026
LLM Engineer Needed to Audit Handover (Code, Access, Documentation)
BL
Bradley L.
Feb 23, 2026
AI Specialist / Custom GPT Builder (Ongoing Contract – Start ASAP)
Muhammad was great, he went above and beyond the scope of work and truly cares about giving his clients the best experience, he is also an AI expert. We will be using him again for ongoing services
Thanks
Thanks
YB
Youssouf B.
Jan 2, 2026
Anonymization + Multi-Jurisdictions + Triple Search Architecture
Excellent work
YB
Youssouf B.
Aug 6, 2025
Backend Enhancement Project - Document Search System
It has been a real pleasure working with Mubashir on this highly technical and time-sensitive legal tech project. From the outset, he demonstrated strong professionalism, deep technical knowledge, and excellent communication skills.
He was able to quickly understand our complex requirements and delivered a robust, scalable backend with advanced features and a structured API system — all within the expected quality standards.
Mubashir was responsive, collaborative, and committed to delivering real value. We appreciated his structured approach, clean coding practices, and the clarity of his documentation. He also showed flexibility and pragmatism in adjusting to evolving needs during development.
I highly recommend Mubashir to anyone looking for a skilled and reliable backend developer. We’re already planning to work with him again on future projects.
Thanks again, Mubashir, and keep up the great work!
He was able to quickly understand our complex requirements and delivered a robust, scalable backend with advanced features and a structured API system — all within the expected quality standards.
Mubashir was responsive, collaborative, and committed to delivering real value. We appreciated his structured approach, clean coding practices, and the clarity of his documentation. He also showed flexibility and pragmatism in adjusting to evolving needs during development.
I highly recommend Mubashir to anyone looking for a skilled and reliable backend developer. We’re already planning to work with him again on future projects.
Thanks again, Mubashir, and keep up the great work!
YB
Youssouf B.
Jul 12, 2025
Freelance Mission – NLP & AI Expert for Legal Document Indexing & Generation
About Muhammad
RAG & AI Agent Engineer | Claude, GPT-4o, LangGraph, LangChain & MCP
100%
Job Success
Peshawar, Pakistan - 8:23 pm local time
I'm an AI/ML Engineer and Full-Stack Developer with 5+ years shipping systems past the demo stage into real production use --- architecture, backend, testing, deployment, and ongoing reliability (evals, guardrails, monitoring).
WHAT I BUILD
→ RAG & Agentic Retrieval --- enterprise document search, legal/compliance platforms, multi-jurisdiction PII anonymization (98% detection accuracy), retrieval pipelines built around evals, not just vector search
→ AI Agents & Multi-Agent Systems --- LangGraph, CrewAI, Claude Agent SDK, and Model Context Protocol (MCP) systems with human-in-the-loop approval steps, persistent memory, and guardrails
→ AI-Powered SaaS Backends --- Claude/GPT-4o chat with prompt caching (up to 90% token-cost savings), Stripe billing, Twilio/WhatsApp and voice-agent pipelines
→ Workflow Automation --- n8n, Make, GoHighLevel, Zapier, and conversational AWS Bedrock infrastructure agents
→ Computer Vision & Predictive ML --- medical imaging (CNN classification), demand forecasting, statistical prediction models
RESULTS I'VE DELIVERED
- 80% reduction in document-generation time on a legal AI platform processing 50,000+ documents
- 98% PII-detection accuracy across multi-jurisdiction legal case data
- 95%+ backtested accuracy on real-time prediction models
- ~90% input-token cost reduction via prompt caching on a production SaaS chatbot
HOW I WORK
Discovery call → architecture proposal → scoped build with regular check-ins → testing/evals → deployment & documentation. Clean, maintainable code and a real handoff --- not a black box.
Tools & stack: Claude API, Claude Agent SDK, OpenAI GPT-4o, LangChain, LangGraph, CrewAI, Model Context Protocol (MCP), Pinecone, Qdrant, Elasticsearch, AWS Bedrock, Python, FastAPI, Node JS, n8n, Make, GoHighLevel, Zapier, Stripe, Twilio
Top Rated on Upwork, 100% Job Success across 17 completed contracts, 5.0★ average. If you're building a RAG system, AI agent, or automating a workflow with AI, send me your brief --- happy to do a free 15-minute call to scope it out.
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.
Requirement Clarification & Scope Finalization
Start work with daily progress update