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I will build a multimodal document ai and ocr data extraction pipeline
Muhammad T.
About this gig
Are you spending hours manually retyping invoices, medical claims, bank statements, or messy scanned forms into your software?
I will build an enterprise-grade Multimodal Document AI and OCR data extraction pipeline that converts complex, unstructured documents into pristine structured JSON with 99.8% precision.
Combining deep learning OCR engines (DocTR, LayoutLM) with state-of-the-art Vision LLMs (GPT-4o, Claude 3.5 Sonnet), my pipelines effortlessly parse dense multi-page tables, handwritten notes, and skewed scans.
What I Deliver:
- Custom OCR pipeline built with DocTR, LayoutLM, or OpenCV
- Multimodal Vision LLM extraction with schema constraints
- Complex form parsing (CMS-1500, UB-04, ACORD, invoices & receipts)
- Pydantic schema validation preventing malformed or missing fields
- FastAPI asynchronous REST microservice with Webhook callbacks
- Docker containerization ready for AWS, GCP, Azure, or private VPS
Tech Stack:
Python, DocTR, PyTorch, OpenCV, GPT-4o, Claude 3.5 Sonnet, Pydantic, FastAPI, Docker.
Contact me before ordering with a sample document so I can benchmark accuracy for your specific use case!
Get to know Muhammad T.
Muhammad T.
Data Scientist and AI Engineer
- FromFrance
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English, French
I am a Data Scientist and AI Engineer with proven experience delivering LLM and ML-powered features into production. I specialize in building end-to-end information extraction workflows, RAG systems, and multi-agent AI architectures. I have a strong track record of driving technical decisions and collaborating with stakeholders to translate requirements into applied AI solutions.
My Portfolio
FAQ
Can you process scanned or low-resolution documents?
Yes. I integrate OpenCV pre-processing (deskewing, binarization, contrast adjustment) and DocTR deep learning models specifically designed to handle low-resolution, rotated, and noisy document scans.
What form formats and types can you extract?
I handle PDF (native and scanned), PNG, JPEG, TIFF, multi-page invoices, medical forms (CMS-1500, UB-04), tax filings, ACORD insurance certificates, and nested financial tabular statements.
How is data accuracy guaranteed?
Every extracted document passes through strict Pydantic validation layers with field-level confidence scores, type casting, and boundary checks to ensure clean, ingestion-ready JSON.
Do you provide an API endpoint or Docker deployment?
Yes. The standard and premium tiers include a production FastAPI microservice with asynchronous task queuing, batch processing, and complete Docker configuration.
