Gabriele Monni
CV Let's talk
2026 / Portfolio

Software engineer building applied AI, native products, and data systems.

Software engineer working across applied AI, native macOS apps, and data-rich interfaces. I care about the whole path, from a defensible idea to software people can actually use.

01 / Selected work

Proof, not promises.

Six projects selected for technical depth, evidence, and the usefulness of what they ship.

AI Capability Signals version 2 frontier-model report Live report ↗
Data science / research02

AI Capability Signals

A reproducible study of frontier-model capability, pricing, and disclosure, with uncertainty intervals, backtests, source provenance, and explicit refusals when the data cannot support a claim.

PythonStatistical inferenceData provenance
Open report ↗ View source ↗
Video Edit Checker local multimodal analysis interface Local AI tool ↗
Multimodal AI / tooling03

Video Edit Checker

A local pipeline for finding black frames, freezes, missed cuts, repeated speech, and audio faults. It checks visual model findings against the source pixels before adding them to the report.

PythonMultimodal AIllama.cpp
View source ↗
AiSuperCam editor applying a thermal effect to a hand-tracked camera region Live demo ↗
Computer vision / product04

AiSuperCam

An on-device webcam studio controlled with hand gestures. MediaPipe landmarks drive movable effect regions while Canvas composites five visual modes without uploading camera frames.

TypeScriptMediaPipeComputer vision
Open demo ↗ View source ↗
WhisperDrop desktop transcription interface Desktop release ↗
Collaborative local AI05

WhisperDrop

A desktop transcription app built with Luca Arisci around whisper.cpp and quantized models. My work added Windows support, cross-platform packaging, GPU backend selection, and release hardening.

Pythonwhisper.cppCross-platform
View source ↗ Download release ↗
Italian Death Clock data story about the projected pension spending peak Live data story ↗
Public data / storytelling06

Italian Death Clock

A bilingual data story about Italy's pension system, built from official projections and observed demographic data. It keeps measurements, projections, and the user-controlled purchasing-power example clearly separated.

TypeScriptData storytellingPublic data
Open story ↗ View source ↗

02 / About

Curious by nature.
Rigorous by choice.

I'm a software engineer with a degree in Applied Computer Science and Data Analytics from the University of Cagliari.

I like problems that sit between research and product: understanding a model, making the data defensible, then designing the interface that makes the result useful.

My work moves comfortably between Python and TypeScript, Swift and SQL, experiments and production constraints. The common thread is clarity: in the architecture, the evidence, and the experience.

109/110 BSc, Applied Computer Science
& Data Analytics · 2025

03 / Experience

Where I've been useful.

APR 2026 / PRESENT

Current role

IT Technical Officer

2022 / 2025

BSc in Applied Computer Science and Data Analytics

University of Cagliari · Final grade 109/110

Cagliari, Italy

2021 / 2024

Boat Rental Assistant

Aequor srl · Seasonal

Baunei, Italy

04 / Capabilities

From first question
to working system.

  1. 01Applied AI & multimodal systemsModel integration, evaluation, local inference, explainability
  2. 02Data products & evidenceReproducible pipelines, source provenance, analysis, visualization
  3. 03Product engineeringPython, TypeScript, React, SwiftUI, SQL, testing and release workflows
  4. 04Technical communicationClear interfaces, rigorous documentation, Italian and English

05 / Contact

Have a hard problem?

Let's make it clear.

Based in Cagliari, Italy
Open to ambitious teams and useful work.

GitHub ↗ LinkedIn ↗ CV ↗ Email ↗