Hi, I'm Lorenzo Giovanni Vecchio

Ash is a programming language designed from the ground up to be written by AI systems and read by humans. Every decision — syntax, type system, standard library, memory model — is optimized for one thing: generating correct, expressive code in as few tokens as possible.

A fully hand-rolled multilayer perceptron written in Go, with zero ML dependencies. Implements every component from scratch: forward and backward passes, ReLU and Softmax activations, cross-entropy loss, He weight initialisation, and mini-batch SGD. Trained on 60,000 MNIST images, it reaches 97.4% accuracy on the 10,000-image test set. The source code is intentionally written as a learning artifact — every concept (backprop, the chain rule, overfitting, normalisation) is explained in plain English directly in comments, making the codebase a readable reference for programmers new to machine learning.

A small desktop app I built at the request of some friends — with heavy AI assistance. It handles FatturaPA electronic invoices (XML, ZIP, or signed .p7m files): upload a batch, filter by supplier, customer, date, amount, and document type, then export the selection as a ZIP archive organized by supplier or customer. Sessions can be saved as projects and reopened later. It also features an AI analysis agent (Claude/GPT) that reads the loaded invoices and generates structured reports — with follow-up conversation support and Word export. Runs locally via Tauri: no data leaves your device unless you configure an AI API key.