Giuseppe Pitruzzella
Software Developer
Biography
I’m a Master’s student and Software Developer with interests in Data Science.
Currently working at Dedagroup on enterprise software, I aim to bridge technology and human needs.
My international experiences through multiple Erasmus programs enhanced my cross-cultural communication and research adaptability.
Experiences
2023–Currently
Software Developer at Dedagroup
Developing scalable software and enterprise applications for national clients.
Collaborating in cross-functional teams to design robust, data-driven solutions for public sectors.
.NET C# SQL Javascript Azure
Education
2023–2026
Master Degree in Computer Science at University Of Catania
Focus in Machine Learning, Cloud Computing, Data Science
Python C++ AWS
2025–2025
Erasmus+ Exchange Program in Porto, Portugal
Study abroad semester focused on Artificial Intelligence and Distributed Systems
2023–2024
Erasmus+ Short-Term Projects (Europe)
Participated in international collaborations across multiple EU countries, strengthening teamwork, leadership, and intercultural communication.
2019–2023
Bachelor Degree in Computer Science at University Of Catania
Graduation thesis in Predictive Modelling in a Robotic Systems
C C++ Java Node Express SocketIO
Projects
Multi-Agent System for Syllabus Quality Assurance
Generative AI & NLP
Designed a stateful multi-agent architecture with LangGraph to automatically evaluate and score university syllabi based on institutional guidelines.
Used Agentic Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP) to connect LLMs with external tools in a secure and controlled way.
Applied an “LLM-as-a-Judge” approach with precise rubrics, validating results against human experts using statistical metrics such as Gwet’s AC2.
Healthcare
Cloud Platform for Healthcare Data
Implemented a microservices architecture on AWS using S3, DynamoDB, API Gateway, Lambda, Cognito and SNS for secure data ingestion, processing and visualization.
Integrated containerized services via ECR/ECS and automated deployments with Infrastructure as Code and CI/CD pipelines (GitHub Actions).
ICU Length-of-Stay Prediction
Predictive Analytics for Healthcare
Built a supervised learning model to predict ICU length-of-stay (LOS) using clinical data from MIMIC-III.
Improved hospital resource planning by focusing on interpretable neural network models.
Sentinel
IOT System for Industrial Safety Monitoring
Created an end-to-end IoT infrastructure to monitor operator safety in tunnels and mining environments.
Designed wearables with biometric sensors and BLE mesh anchors for indoor localization.
Developed a cloud-based dashboard for real-time risk detection and monitoring.
Sentinel
IOT System for Industrial Safety Monitoring
Developed a gateway to remotely control and interact with the Pepper robot through an external user interface.
Integrated AI models to enhance Pepper’s behavior, responses and context-aware actions during human–robot interaction.
Implemented the system primarily in Python 2.7 and containerized services with Docker to simplify deployment and maintenance.