Summary
This blog post details the creation of an open-source, multilingual PII (Personally Identifiable Information) detection system named PII Engineer, developed using Rust and the GLiNER2 model. It offers an in-depth look at the architecture, components, and lessons learned in handling PII detection at production scale for over 50 languages without the need for a GPU. Key techniques include using ONNX runtime for model inference, INT8 quantization for performance improvements, and a robust multi-stage processing pipeline. The author shares insights on optimizing performance, model training, and practical challenges faced throughout development.