Computer Science and Engineering student at Politecnico di Milano.
- π Computer Science and Engineering student at Politecnico di Milano
- π Based in Milan, Italy
π€ PoliMillionaire
Description: An NLP group project featuring a quiz chatbot powered by local open-weight LLMs, RAG, speech interaction and agentic AI techniques.
Technologies: Python, PyTorch, Hugging Face Transformers, FAISS, Sentence Transformers, RAG, Agentic AI, Whisper, Google Colab
π‘οΈ ASPIS
Description: Fork of ASPIS β Automatic Software-based Protection and Integrity Suite, an LLVM plugin operating on Intermediate Representation to harden software against Single-Event Upsets.
Technologies: C++, LLVM, CMake, compiler passes
π² MyShelfie
Description: A Java client-server board-game project with MVC, Socket/RMI, CLI/GUI, integrated chat and concurrent multiplayer sessions.
Technologies: Java, Maven, Socket, RMI, JavaFX
π₯ ClinicalTrial
Description: A collaborative workflow for defining and approving clinical trials across hospitals and ethical committees, modelled with BPMN and Petri Nets and partially automated through Camunda 8.
Technologies: BPMN, Camunda 8, Zeebe, JavaScript, Node.js, REST APIs, Petri Nets
βοΈ BitRoute
Description: A VHDL memory-routing module that decodes a serialized command, retrieves an 8-bit value from a 16-bit memory address and routes it to one of four output channels.
Technologies: VHDL, digital logic design
π MilanDataCare
Description: A Python data quality project for profiling, assessing and cleaning a dataset of commercial activities in Milan, with a focus on missing values, inconsistencies and duplicate records.
Technologies: Python
Description: A collection of performance-modelling challenges covering computing systems and services such as microservices, caching, RAID architectures, hybrid-cloud infrastructures, production facilities and transport systems.
Technologies: Python, JMT, JMVA, queueing networks, performance modelling, numerical analysis
π IoT Challenges
Description: A collection of Internet of Things coursework challenges covering energy-efficient ESP32 nodes, CoAP, MQTT and MQTT-SN traffic analysis, and LoRa network simulations with Node-RED integration.
Technologies: Python, Arduino, ESP32, Wokwi, CoAP, MQTT, MQTT-SN, LoRa, LoRaSim, Node-RED, Wireshark