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Computer Science Graduate & Cloud Computing Student at the University of Salerno.
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Assessing your cultural and operational fit
University of Salerno
Data Scientist
June 29, 2026 – Present
mpi-conway-game-of-life
March 14, 2026 – Present
This repository hosts the laboratory assignments and the final capstone project for the Programmazione Concorrente, Parallela e su Cloud
View Projecticaro
December 18, 2025 – Present
ICARO is a multi-platform safety system: a Python/MediaPipe backend detects falls and prone posture from video, feeds alerts to a Flutter mobile app and a Wear OS companion, and stores events/data for review.
View Projectlila
December 14, 2025 – Present
LILA (LLM Integrated Language Agent) is an autonomous multi-agent system built on LangGraph and the Model Context Protocol (MCP) that orchestrates specialized AI agents to plan, write, compile, test, and debug code in Grammo, a custom language that compiles to LLVM IR.
View Projectmocc
November 28, 2025 – Present
MOCC is a cloud-native smart pantry and recipe management ecosystem developed for the Cloud Computing course at UNISA.
View Projectkgsum
February 9, 2025 – November 23, 2025
Thesis project on knowledge graph summarization
View Projectastromark-ai
December 1, 2024 – February 10, 2025
Machine learning application designed for advanced text classification
View Projectastromark
September 23, 2024 – Present
Web platform for managing students’ marks and homework assignments with a distributed ecosystem.
View Projectsavoreco
April 7, 2024 – December 23, 2024
Savoreco is a cutting-edge web application built with Jakarta EE, focusing on promoting sustainable food practices. It serves as a platform for users to discover eco-friendly food options, understand the environmental impact of their dietary choices, and connect with a community of like-minded individuals.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards personal projects, showcasing initiative and a passion for technology. The diversity of projects, ranging from web platforms to machine learning and cloud computing, suggests adaptability and a broad technical curiosity. The focus on AI/ML projects aligns well with a Data Scientist role, indicating a potential good cultural fit for an innovative and data-driven environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication. However, no psychometric or English test scores are provided to validate further.