AI & Software Engineer. I study Computer Science and Engineering at Politecnico di Milano.
I'm a Computer Science and Engineering master's student at Politecnico di Milano, specialising in AI/ML, NLP and Edge AI; my thesis, in progress, is about Streaming Continual Learning. On request I also take on freelance collaborations. More about me
On request I take on projects in these areas, with a free quote.
Custom integrations with OpenAI, Anthropic and open-source models, plus end-to-end Retrieval-Augmented Generation pipelines. Prompt engineering, function calling, structured outputs, ingestion, chunking, embeddings, vector DBs and answer evaluation.
Workflow automation for SMEs combining n8n, LLMs and external APIs. Replace repetitive ops work with reliable pipelines.
Custom models for classification, time series and computer vision. From dataset cleaning to deployment, with proper evaluation.
Code reviews, architecture audits, AI-readiness assessments. Honest feedback on what to build, what to buy and what to drop.
My MSc thesis, started in September 2026, studies deep learning architectural strategies for Streaming Continual Learning. It is at an early stage: working title, research question still to be defined, no results yet.
Project for the Embedded and Edge AI course: estimating, frame by frame, the position of 0–4 people in a room from the signals of 6 UWB radars, with a model that fits the memory limits of an ESP32-S3.
For the Natural Language Processing course at Politecnico di Milano I built the core of an agent that plays a timed quiz, in text and speech modes: web search, retrieval and reasoning with a local open-weights LLM.
I implemented Continuous LSTM and Continuous PNN as CapyMOA-compatible classifiers and evaluated them on the Weather stream: cPNN fluctuates less in most concepts, while cLSTM has the higher mean Kappa in 5 of 8.
