I work at the intersection of software engineering and data science — building systems, and understanding the data that runs through them. Mostly in Rust and C++, mostly to understand how things work underneath.

I came to code from the other side of language. I hold a bachelor's degree in Italian language, literature and civilization (LLCER, with Latin, English, and Romance-language intercomprehension), completed in June 2024. That autumn, I turned toward tech: a digital-professions program at Simplon, then, in January 2025, my first real steps in programming through the Apple Foundation Program — Swift, UI and UX design. I found Rust in October 2025 and haven't looked back since; in June 2026, I earned a DESU in Data Science from Aix-Marseille School of Economics. Most of what I build is open source.

I designed and built whispem-lang, a small self-hosted programming language whose compiler is written in itself and produces byte-identical output with the reference Rust implementation, verified by a reproducible bootstrap. I built minikv, a distributed key-value and object store in Rust with Raft consensus, two-phase-commit transactions, a write-ahead log, and an S3-compatible API. And I went all the way down with asm.kvstore — a networked key-value store written in pure x86-64 assembly, with an epoll event loop, no libc, and syscalls only.

On the data and ML side, I reimplemented neural machine translation inference from scratch on ggml with sussurro.cpp — Marian / OPUS-MT encoder–decoder Transformers running fully offline across four languages, no server at runtime. I also built dprism, a terminal-native data profiling tool in Rust for exploring multi-gigabyte datasets without leaving the shell.

I write about low-level programming and systems for Programmez!, and I've given talks on my work, including at Epitech. I keep a hosted product, WhispHub, private; everything else lives on GitHub, MIT-licensed, built in public.