Jamal N.

I turn unstructured documents into production-ready data pipelines. 15,000 compliance documents monthly. 300+ locations. 99%+ field accuracy. Zero manual cleanup. Python · Claude API · LangChain · FastAPI · PostgreSQL. Top Rated Plus · 100% JSS. Most AI engineers hand you a script. I deliver a complete, documented system running in your live environment from day one.

What I build:
Document AI and IDP: layout-aware extraction for invoices, contracts, compliance forms, and medical records with deterministic Python validation enforcing your business rules. No hallucinations on regulated data.

RAG and LLM Pipelines: LangChain and LangGraph orchestration with pgvector semantic search, source-cited Q&A, and human-in-the-loop review routing. Production-grade, not a demo.

OCR Infrastructure: PaddleOCR, Tesseract, Azure Document Intelligence, and Google Cloud Vision for printed, handwritten, scanned, and multi-language documents including Arabic and Spanish.

AI Automation: n8n workflow orchestration, webhook-based routing, and API integrations connecting document pipelines to your existing platforms.

Computer Vision: YOLO-based defect detection for manufacturing quality control, real-time ALPR at 120 FPS, liveness detection and face matching for KYC onboarding.

Industries: Finance · Legal · Healthcare · Federal Compliance · Manufacturing · Enterprise SaaS

Why clients return: Purdue CS graduate. Stanford ML certification. 25+ years of engineering experience including a $40M government contract managing 20+ person teams. I stay until the system performs in production, not until the code compiles.

Click Book Consultation for a 30-minute Architecture Review before we start.