Jamal N.
Document AI Engineer | OCR, RAG, AI Agents, Claude API
I turn unstructured documents into production-ready data pipelines and AI agents that do real work. My largest pipeline processes 10,000 to 15,000 compliance pages a month across 300+ locations, with a confidence score on every field and human review for anything uncertain. Python · Claude API · LangChain · LangGraph · 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. Regulated data is checked by rules, not left to the model. 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. AI Agents: LangGraph multi-agent systems and agentic workflows with shared state and conditional routing, where specialized agents handle documents, spreadsheets, slides, web search, and deep research. Tool calling, human approval before sensitive actions, and audit logs, the same controls I run in my production document pipelines. I use Claude Code agents every day for development and manage Claude Team and Enterprise workspaces. 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.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $69k
Billed in all: $86,219$86k
$14k in the last 6 months
Across 13 contracts
Earnings, last 30 days
Skill rankings: #1 in 5 skills of 20
Rarest: top 0.20% in Data Extraction, of 5,086. Ranked by MRR among everyone on Upwork with the skill.
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