Francesco Parisi
Master's Student in Computer Science at University of Salerno

Hello! I’m Francesco Parisi

I am a student who is always on the hunt for novelties, driven by the curiosity to touch the latest technologies and with a great desire to create new and stimulating projects. Passionate about cloud computing and IT security, over the years I have gained a good knowledge of the main cloud platforms(AWS, Azure, Google Cloud) and security tools in the pentesting field. I firmly believe that precision, organization and teamwork are key to achieving all the goals set.

  • Html/Css/Javascript
  • C
  • Python
  • Game Development (Unity 3D, C#)
  • Web Application (Node.js, Express.js)
  • Mobile Application (React Native, Expo)
  • Database (MongoDB, MySQL)
Organizational & Personal
  • Communication
  • Team Work
  • Leadership
  • Creativity
  • Language
  • Attention to Details
  • Flexibility
Work Experience
MAR 2020 - MAY 2020
Kineton s.r.l
Internship carried out at the company for a thesis project, aimed at studying the orientation of the face through the use of python and the opencv, matplotlib and numpy libraries. The thesis project, carried out together with Prof. Andrea Abate and Prof. Ignazio Passero, is entitled "Pose Recognition for Human-interaction in Videogames".
Master's Degree in Computer Science - Cloud Computing
Fisciano (SA)
SEP 2015 - SEP 2020
Bachelor's Degree in Computer Science
Fisciano (SA)
SEP 2010 - JUN 2015
Scientific High School diploma at the State Institute of Higher Education "Leonardo Da Vinci"
Poggiomarino (NA)

Luxer Assistant

Luxer Assistant is an application designed to offer functionality to support the shop assistant, in order to make the shopping experience of customers unique and promote their loyalty.


Pose Recognition for Human-Interaction in Videogames

This project consists, on the basis of a facial detection system already developed by third parties, in the estimation of the direction of the face and its application in 3D environments and videogames.


Twitter Sentiment Analysis during Covid-19

Given the current situation characterized by the pandemic phenomenon of Covid-19, we want to carry out Sentiment Analysis, through Twitter, to understand what the population thinks about it.



This bot offers information on affiliated health facilities, doctors and above all allow you to easily book specialist visits, thanks to the generation of a QR-code to be shown once you arrive at the facility.

Career Objectives

My ambition is to be able to work on several IT projects to acquire all the required skills in the field of IT security and cloud computing, in order to excel in my professional career and support young minds so that they have every chance to train and give new life to the industry.

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