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Muhammad M.
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Muhammad M.

AI Engineer & RAG Developer | AI Agents, Document AI, LLM, Claude

I build production RAG systems and AI agents for legal-tech and regulated documents. Recent: a 50,000-document legal RAG platform with Elasticsearch + Claude, 98% multi-jurisdiction anonymisation, sub-2s retrieval and three-tier access control. I'm an AI/ML Engineer and Full-Stack Developer with 4+ 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 → Document AI & OCR Pipelines: scanned PDFs and mixed-format records turned into clean, structured, searchable data, with answers that cite their source → 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, guardrails, and conversational AWS Bedrock agents → 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 → 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 with 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, OCR, Python, FastAPI, Node.js, Stripe, Twilio Top Rated on Upwork with 100% Job Success and a 5.0★ average. If you're building a RAG system, an AI agent, or a document-heavy AI workflow, send me your brief. Happy to do a free 15-minute call to scope it out.

🇵🇰Peshawar, Pakistan$65/hr100% JSS4.96 (16)Since May 2023
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Earnings and projects

MRR
$1.1k

Last 6 months ÷ 6

World#42,983 / 412k
🇵🇰Country#5,039 / 52.9k
Revenue, last 30 days
$1.2k

Last 6 months: $6.8k

World#25,613 / 412k
🇵🇰Country#2,943 / 52.9k
Total earnings
$17k

Billed in all: $18k

World#151,825 / 412k
🇵🇰Country#15,252 / 52.9k
Per project
$721

$1.4k in the last 6 months

World#150,298 / 412k
🇵🇰Country#14,628 / 52.9k
Projects, last 6 months
5
40% fixed60% hourly
World#41,746 / 412k
🇵🇰Country#8,942 / 52.9k
Projects in all
24

Across 27 contracts

74% fixed26% hourly
World#116,631 / 412k
🇵🇰Country#19,248 / 52.9k

Earnings, last 30 days

$18k+$1.2k earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$16k$17k$18kOct 9Oct 24Nov 8

Skill rankings: Top 9% in Data Extraction

Ranked by MRR among everyone on Upwork with the skill.

  1. #24Document AI97 freelancers · 🇵🇰 #10Top 25%
  2. #43rag implementation237 freelancers · 🇵🇰 #14Top 18%
  3. #44Amazon Bedrock204 freelancers · 🇵🇰 #8Top 22%
  4. #73LangGraph299 freelancers · 🇵🇰 #34Top 24%
  5. #111Elasticsearch946 freelancers · 🇵🇰 #14Top 12%
  6. #200Vector Database1,142 freelancers · 🇵🇰 #64Top 18%
  7. #319Natural Language Processing2,688 freelancers · 🇵🇰 #82Top 12%
  8. #360LLM Prompt Engineering2,457 freelancers · 🇵🇰 #103Top 15%