I am a programmer who stands out for my ability to solve complex problems, thanks to my insatiable curiosity, determination, and quick and efficient learning skills.
I am skilled in data science, both structured and unstructured, using techniques such as data wrangling, feature engineering, and visualization. I am able to extract meaningful information from data and identify hidden patterns to support business decisions.
I have learned ML and DL technologies including supervised and unsupervised algorithms, artificial neural networks, SVM, decision trees, clustering, feature selection, transfer learning, reinforcement learning, and the use of frameworks such as TensorFlow, Keras, and PyTorch.
I have acquired in-depth knowledge in image processing techniques, including segmentation, object detection, and classification, using libraries such as OpenCV and scikit-image.
I have acquired skills in various full-stack technologies, including HTML, CSS, Bootstrap, PHP, MySQL and Jquery. These technologies enable me to develop responsive, scalable, and secure web applications for clients and end-users.
I have advanced skills in developing web applications based on microservices architectures using technologies such as Docker and Kubernetes for creating, deploying, and managing containers. Additionally, I have experience using continuous integration and automated deployment tools such as Jenkins and GitLab CI/CD.
I have acquired advanced skills in Microsoft Office, particularly Word, Excel, and PowerPoint, as well as Google Suite. I am able to create effective and professional documents, spreadsheets, and presentations.
This thesis project, carried out in collaboration with TIM in Catania (Italy), presents the use of Computer Vision techniques related to Machine Learning techniques with the goal of solving a practical problem: identifying and classifying garbage from a video stream.
Read MoreThe goal of the following project is to replicate the motions of a multirotor using two-dimensional modeling, and implement the object capture strategy using PHIDIAS.
Read MoreThe goal of the project is to describe the entire CI/CD pipeline to compile and release a java application. The technologies used are: Git, a distributed version control software; Github, a hosting service for software projects; Jenkins server, a tool for Continuous Integration; Maven, a build automation tool; Ansible, a tool for automating configuration and management (provisioning) procedures; and Docker, for containerization of applications.
Read MoreIn this work, the Machine Learning Agents (ML-Agents) toolkit was used to train via Reinforcement Learning airplane agents to fly within checkpoints.
Read MoreThe goal of the project is to realize a classification algorithm capable of recognizing one or more faces in the scene, estimating age and adopting blurring techniques with the intent of anonymizing the faces of underage individuals automatically.
Read MoreRealization of a binary classifier that identifies with sufficient confidence whether a person in a virtual or real photo wears a helmet. The classifier will be trained exclusively on synthetic data, gathering photos from virtual worlds. An automatic mechanism for creating scenarios with people wearing and not wearing helmets will be implemented.
Read MoreThe goal of the Bachelor's Thesis project, is to create a 3-dimensional game environment to test the cognitive abilities of people with multiple disabilities.
Read MoreThe project consists of developing a social network within a school/university so that students, professors and researchers can exchange ideas and knowledge.
Read MoreUniversità degli Studi di Catania (2020-2023) - 110/110 Cum Laude
A master's degree course in data science teaches statistical and computational techniques to analyze and make decisions from data.
Università degli Studi di Messina (2015-2020)
A bachelor's degree in computer science covers computer programming, algorithms, data structures, software engineering, and computer architecture.
ITIS in Informatica, Sant'Agata di Militello (ME), Italy (2010-2015)
Diploma of chief technician computer expert.
Par-Tec (2023 - Present)
OpenShift, Kubernetes, Docker, Podman, Ansible, Terraform, Tekton, ArgoCD, Linux, Bash
TIM, UNICT (12/2022 - 04/2023)
Conducting the Master's Thesis project in CV and ML.
INPS Messina (11/2017 - 02/2018)
Creation of a WebApps for the purpose of facilitating internal operations. Tools used: HTML, CSS, JavaScript, PHP, SQL, jQuery and Bootstrap.