Overview
I work on embedded software and systems infrastructure. That includes STM32 and FreeRTOS firmware for vehicle hardware, O-RAN and Kubernetes testbeds, telemetry pipelines and a Rust search engine with strict deadlines. I am now focusing on ML systems and accelerated edge inference.
Selected work
Four case studies on how I built each system and where its limits are.
I turned part of my bachelor thesis into a public lab for the O-RAN xApp lifecycle. Ansible builds the single-VM K3s RIC environment and onboards kpimon-go. e2sim provides E2SM-KPM input, while the notes cover Istio switching.
I built this Rust Ashton Tablut player for the University of Bologna AI Fundamentals Challenge. It reads a framed TCP protocol, generates legal moves locally and runs deterministic alpha-beta search over a compact board state. Before replying, a final guard checks the move and remaining time.
I led the Electronics Division for UniBo Motorsport Formula SAE Hybrid and worked directly on its BMS firmware, CAN integration, LV wiring and telemetry. I also handled validation and task coordination.
A simracing telemetry pipeline that receives UDP packets, processes them in Go and makes the data available through a Grafana plugin and dashboard. The plugin has a React configuration UI, and Docker Compose runs the local setup.
Skills
Experience
I built and released an O-RAN Near-RT RIC xApp lifecycle lab with Ansible, K3s and Istio. I monitored the validation work with Prometheus, Grafana and Kiali.
I managed the HY electronics division while also working on BMS firmware, CAN integration, LV wiring, telemetry, and validation.
I worked on STM32 and FreeRTOS BMS firmware, CAN integration, telemetry, LV wiring, and debugging on the bench and vehicle.
I worked on React Native and Next.js during a remote internship.
Education
The degree covered software, systems, and embedded engineering.
I will start the M.Sc. in Computer Engineering in September 2026. Before official enrollment, I completed two master's-level exams, including AI Fundamentals, which became the starting point for Kyndill.
LinkedIn is the easiest way to contact me, while GitHub has the code and history for my projects. This page is also my current resume and is formatted for printing.
