Muneeb Ahmad H.

Your business runs on documents: invoices, bank statements, contracts, medical records, claims. Your team is still reading and re-typing them by hand. I build AI document intelligence systems that do it automatically: extract, validate, and deliver the data into your software, with accuracy you can measure and audit. I'm a Full-Stack AI Engineer (MS in Artificial Intelligence, 10+ years building production software) specializing in Document Intelligence and Intelligent Document Processing (IDP), data extraction pipelines (OCR & LLM), RAG document Q&A with source citations, and complete document-processing SaaS platforms. 𝐈𝐍𝐃𝐔𝐒𝐓𝐑𝐈𝐄𝐒 𝐈 𝐒𝐄𝐑𝐕𝐄 ● Legal: contract analysis and clause extraction, legal RAG with citations, case-document processing, Clio/Filevine integrations ● Healthcare: HIPAA-aware medical-record pipelines, PHI redaction before any AI call, claims document automation ● Banking & Finance: bank-statement extraction with running-balance reconciliation, loan/KYC document processing, financial statement data ● Accounting & AP: invoice and receipt extraction into QuickBooks/Xero, accounts-payable automation ● Insurance, Real Estate & Logistics: claims packets, lease abstraction, shipping and customs documents 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 ● Extraction pipelines for PDFs, scans, and images: ingest → classify → extract (Azure Document Intelligence, AWS Textract, GPT-4o/Claude vision) → validate → deliver into your API, sheets, ERP, or CRM ● RAG systems: question-answering over your document base where every answer cites its source page (pgvector, Pinecone, hybrid search) ● Document SaaS platforms end-to-end: multi-tenant architecture, auth/RBAC, Stripe billing, admin dashboards, human-review queues, plus the AI layer 𝐖𝐇𝐘 𝐌𝐘 𝐏𝐈𝐏𝐄𝐋𝐈𝐍𝐄𝐒 𝐀𝐑𝐄 𝐃𝐈𝐅𝐅𝐄𝐑𝐄𝐍𝐓 (this is where most document AI fails) ● Benchmark-first: we hand-label a golden dataset on day one, so every accuracy claim is measured, not promised ● Confidence-scored: every extracted field carries a confidence score; low-confidence items route to human review instead of silently exporting wrong data ● Audited: full audit logs and source citations on every AI answer ● Honest by design: pipelines engineered to flag "not found" instead of inventing data, so wrong answers never reach your records silently ● Cost-engineered: classification routes each document to the cheapest capable method. I quote cost per document, not just accuracy 𝐘𝐎𝐔𝐑 𝐃𝐀𝐓𝐀 𝐒𝐓𝐀𝐘𝐒 𝐘𝐎𝐔𝐑𝐒 I develop on public, synthetic, or redacted samples; production runs in YOUR cloud (AWS/Azure/VPC) with your API keys and your storage. Your data never trains models. NDA-ready, encryption at rest and in transit, access logging, written deletion policy. 𝐓𝐇𝐄 𝐅𝐔𝐋𝐋-𝐒𝐓𝐀𝐂𝐊 𝟖𝟎/𝟐𝟎 𝐀𝐃𝐕𝐀𝐍𝐓𝐀𝐆𝐄 The AI is ~20% of a document product; the other 80% is architecture, APIs, billing, dashboards, and deployment. 10+ years of full-stack engineering (Python/FastAPI, Next.js/React, Node.js, PostgreSQL, AWS/Docker/Kubernetes) means I ship the whole product, not a demo. 𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊 ✔ Paxton: Built an AI legal assistant for lawyers covering legal research, document drafting, file analysis, and workflow acceleration through document-aware, natural-language AI ✔ Provider Note: Built an AI clinical documentation and medical coding platform for health systems: real-time transcription (Whisper/Deepgram), LLM note structuring, RAG pipelines, HIPAA-compliant data handling ✔ FlowMind: Built an AI document evaluation, scoring, and intelligent routing system (GPT-4 + n8n + FastAPI) that eliminated manual document workflows ✔ Built a production AI pipeline processing thousands of items daily, with an automated quality gate that cut manual review to near zero 𝐒𝐓𝐀𝐑𝐓 𝐒𝐌𝐀𝐋𝐋, 𝐒𝐄𝐄 𝐏𝐑𝐎𝐎𝐅 𝐅𝐀𝐒𝐓 Send me one document type and what you need out of it. Within 24 hours you'll have honest feasibility notes and the accuracy target I'd commit to. In 1–2 weeks, a fixed-price paid pilot gives you measured results, not promises. Your documents can start processing themselves this month. Click Message and let's scope your pilot. Keywords: Document Intelligence, Intelligent Document Processing, IDP, Data Extraction, OCR, PDF Data Extraction, Document Parsing, Document Automation, Invoice Processing, Bank Statement Extraction, Contract Analysis, Legal AI, Medical Records AI, Claims Processing, RAG, Retrieval Augmented Generation, LLM Integration, OpenAI, GPT-4, Claude, LangChain, LangGraph, Azure Document Intelligence, AWS Textract, Document Q&A, Chat with PDF, Semantic Search, Vector Database, pgvector, Pinecone, Python, FastAPI, Next.js, React, PostgreSQL, AI SaaS, Multi-tenant SaaS, Stripe, HIPAA, n8n, Make, Zapier, AI Automation, MLOps, AI Agent Development