📍 Paris, France | 🤖 SAP Business AI & BTP Solutions Architect @ VINCI Construction | 🚀 MSc in Artificial Intelligence @ Epitech

This solution automates the verification of physical deliveries against Purchase orders. Users upload paper delivery receipts from SAP/Ariba purchase orders to the platform. Using Mistral OCR 4, the system extracts the receipt data, compares it directly with the original SAP PO, generates a discrepancy score, and securely stores the results for automated compliance tracking.

Ever since I got a machine with a Snapdragon X processor, my goal has been to run frontier LLM and VLM models natively using the NPU. This led me to Qualcomm's GenieX (formerly Nexa AI).

Because I love Rust, I decided to contribute by building the complete Rust bindings for their C API. Following discussions with the upstream maintainers, I extracted this work from my initial fork into a dedicated, standalone repository. The project is now fully documented, supports automated Windows ARM64 dynamic linking out of the box, and is officially published on crates.io.

• 📦 Repository: Maki-Grz/geniex-rs
• 🦀 Crates.io: geniex-rs

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