• (CPM), SAP BPC 10.0 MS/NW. SAP BW/
• MS SQL Server, Excel EvDre.
• Os X
• Linux
• Windows
• Tools
• Eclipse, Nsight, IntelliJ,
• Arduino IDE, GIT, LaTex, SAP
• BPC 10.0NW and MS, SAP
• BW, Word, PowerPoint, Excel,
• Project, Visio
• Languages
• Java, Python, C++, Matlab,
• CSound, Cuda C, HTML,
• UML.
• DBMS
• MySql, MongoDB

Master Thesis – The Comelicottero:
experiments on quadcopter’s flight
controls.
This multirotor was developed on Arduino
Yun (in Wiring&C++) using both the
processors.
The Atheros AR9331 was used for the WiFi
communication with the Ground Station
and the Atmega32u4 for the PID control
system and navigation.
Position estimation was computed using
MEMS gyro and accelerometer data.
Focus on:
– Real Time on Atmega32u4
– WiFi communication
– PWM hardware generation
– Ground Station on PC
– Discrete time PID optimisation and
tuning
– Nav System simulation
– Digital filters for sensor data
processing
Visit Comelicottero on arduino.cc:
Building a quadcopter running on
Arduino Yùn
• Able and willing to work in dynamic work conditions.
• Excellent inclination in team work and great initiative.
• Confident and comfortable in public speaking
Social Skills
Languages
English
2015 IELTS – SCORE: 7.5/9 – C1 Level
Italian
Mother tongue
Os X
Linux
Windows
Languages
Java, Python, C++, Matlab,
CSound, Cuda C, HTML,
UML.
DBMS
MySql, MongoDB
Tools
Eclipse, Nsight, IntelliJ,
Arduino IDE, GIT, LaTex, SAP
BPC 10.0NW and MS, SAP
BW, Word, PowerPoint, Excel,
Project, Visio
Operating Systems
Technical Skills
Interested in: multicopters, embedded systems, big data, internet of things.
Page 3
Bachelor Thesis – Indexing of heterogeneous audio
tracks.
I developed an automatic track-indexing method
based on Breiman’s Tree (Supervised Learning) in
Matlab.
My classifier has been tested on two databases, 300
tracks each.
SW Robot in Java using Robocode framework.
The bot developed is able to predict enemy’s movements and
decide hence the fire power using a fuzzy system approach.
My bot has been compared with many well known bots
available on the net giving great scores.
Parallel K-Means on images using CUDA
The aim of the project is to implement the parallel version of kmeans
algorithm for image clustering. K-means has been firstly
prototyped in Python and then implemented in CUDA C.
Focus on:
– Algorithm parallelisation – Time&Space performance
– Dynamic memory allocation – Usage of GPU’s different memories
Toy Example RESTful MOOG Game using Client/Server and TokenRing
structures.
I used Java Jersey Rest library concerning the communication between a
player and a server which stores players’ info and matches.
The game takes place in a pure P2P distributed system based on
TokenRing. Each player adopts socket communication to broadcast info.
Syntactic Analysis on
Tweets.
Study on political
orientation of the analysed
database. In MongoDB
and Python.