Project Case Study
Automated Document Classifier
AI-powered classification engine for high-volume banking and insurance documents.
PythonFastAPIPyTorchRedis
The Challenge
"Maintaining classification accuracy (>95%) while processing varied legacy document formats (OCR/PDF)."
The Solution
Leveraged Vision Transformers (ViT) and fine-tuned BERT models optimized with ONNX runtime for sub-100ms inference.
System Optimized & Validated
Technical Architecture
A high-level overview of the microservices orchestration, data flow, and infrastructure components implemented for this project.
Infrastructure Mapping
Low-level documentation pending for this specific module.