AI-Powered Intelligent Document Processing & OCR Engine
Designed an end-to-end intelligent document intelligence pipeline turning messy scanned PDFs, invoices, and contracts into verified structured JSON data with automated validation loops.
Core Technical Scope
Executive Challenge
Organizations spend thousands of manual human hours transcribing scanned receipts, bills of lading, and multi-page agreements into database systems, leading to high latency and transcription errors.
Architectural Strategy
Constructed a resilient multi-stage processing pipeline: Document Ingestion $\rightarrow$ Pre-processing & OCR $\rightarrow$ Semantic Classification $\rightarrow$ LLM-Assisted Entity Extraction $\rightarrow$ Rule-Based Schema Validation $\rightarrow$ Downstream ERP/CRM Sync.
- Intelligent layout segmentation capable of parsing multi-column tables
- Dynamic schema mapping that adapts to varied vendor invoice formats
- Confidence scoring module triggering automated human verification alerts only when needed
Engineered Solution
A high-throughput API service capable of processing thousands of complex documents daily, providing real-time webhooks and structured audit logs.
Technical Stack & Delivery
Python 3.11, FastAPI, Advanced OCR engines, Vision-Language Models, Redis async job queues, Dockerized microservice architecture.
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