More about me

M.Sc. in Computer Engineering: Artificial Intelligence and Robotics — University of Padua, Italy

Sep 2022 – Mar 2025 · Grade: 93/110 (≈ 3.4 GPA)

• Relevant Modules: Machine and Deep Learning, Artificial Intelligence, Computer Vision, Intelligent Robotics.
• Thesis: Neural Network Approaches for Classifying Variable Star Light Curves (ZTF; LSTM & CNN on DMDT/light-curve representations).

Erasmus+ in Computer Science: Artificial Intelligence — University of Cyprus

Jan 2024 – May 2024

• Relevant Modules: Natural Language Processing (NLP), AI in Medicine, Entrepreneur AI.

B.Sc. in Computer Engineering — University of Padua, Italy

Sep 2016 – Mar 2022 · Grade: 85/110 (≈ 3.1 GPA)

• Relevant Modules: Software Engineering, Databases, Operating Systems, Data Structures & Algorithms.

Technical High School Diploma — Istituto Tecnico Tecnologico G.Chilesotti, Thiene (VI), Italy

Sep 2011 – Jun 2016

AI and Machine Learning Engineer — Terya Spa, Bassano del Grappa, Italy

Nov 2024 – Ongoing

• Architected and deployed production-ready conversational AI solutions including intelligent chatbots, voice-enabled assistants, and autonomous agents tailored for internal business operations, leveraging state-of-the-art Large Language Models and Retrieval-Augmented Generation pipelines to enhance contextual understanding, information retrieval accuracy, and natural dialogue flow.
• Engineered robust API integrations connecting AI systems with existing enterprise ERP infrastructure, enabling seamless bidirectional data exchange and automated workflow orchestration while ensuring system scalability, reliability, and real-time query capabilities through conversational interfaces in production environments.

Research Intern — Neural Networks for Variable Star Classification, University of Padua, Italy

Oct 2024 – Mar 2025

• Conducted comprehensive literature review of state-of-the-art astronomical classification techniques and synthesized insights from multiple peer-reviewed publications to design and implement two hybrid deep learning architectures combining Convolutional Neural Networks and Long Short-Term Memory networks, specifically optimized for identifying and categorizing variable star patterns from large-scale time-series photometric data.
• Achieved exceptional classification performance with F1-scores consistently exceeding 95% across diverse stellar categories, with peak accuracy surpassing 99% using 2D-CNN architecture on the complete Zwicky Transient Facility open dataset, while carefully balancing model complexity and computational efficiency to ensure practical applicability for large-scale astronomical surveys.

Full-Stack Developer Intern — ITReview, Padua, Italy

Nov 2023 – Dec 2023

• Contributed to the development of responsive full-stack web applications by implementing dynamic user interfaces using React framework for the frontend layer and building scalable Node.js server architecture for the backend, while designing and integrating RESTful API endpoints to facilitate efficient client-server communication and deliver seamless, data-driven user experiences.
• Actively participated in collaborative code review sessions and performance optimization initiatives, identifying bottlenecks in database query patterns and implementing indexing strategies and query optimizations that resulted in approximately 20% reduction in database response times, thereby enhancing overall application responsiveness and user satisfaction.

Software Programmer Intern — AppLibra s.r.l., Thiene, Italy

Oct 2021 – Dec 2021

• Contributed to a comprehensive enterprise resource planning migration project that became the foundation of my Bachelor's thesis, supporting the technical transition from Microsoft Dynamics Navision to Dynamics 365 by developing custom modules, adapting existing business logic to meet evolving organizational requirements, and creating tailored functionalities that served the specific needs of diverse client organizations while ensuring data integrity throughout the migration process.
• Designed and implemented Docker-based containerization infrastructure to facilitate secure internal code sharing and version control across development teams, creating isolated deployment environments that significantly streamlined the development-to-production pipeline, reduced system downtime during updates, and accelerated overall delivery cycles by approximately 50% through automated deployment workflows.

Data Analyst Intern — ULSS 7 Pedemontana, Thiene, Italy

Jun 2015 – Aug 2015

• Led the deployment and configuration of a comprehensive digital signature system across the regional healthcare network in Veneto, establishing secure document authentication protocols and implementing an integrated data analysis platform that enabled real-time capture and processing of healthcare information while ensuring strict compliance with healthcare data governance regulations, privacy protection standards, and enhanced document security measures.
• Automated critical document management workflows and developed a network-based data sharing system that enabled seamless information exchange between multiple healthcare facilities across the regional network, eliminating manual data entry errors, standardizing inter-organizational communication protocols, and achieving a 3-4× improvement in document processing speed compared to legacy manual procedures.

Bartender — 4 Dame Lane, Dublin 2, Ireland

Nov 2024 – Mar 2025

• While completing my Master's thesis research, I sought to further enhance my English language proficiency and gain international work experience beyond my Erasmus exchange, serving as a bartender in one of Dublin's most prestigious venues—awarded Best Live Entertainment Bar of the Year 2024 and Irish Pub Award Best Music Pub 2025, alongside a runners-up Silver for Late Bar/Nightclub of the Year 2024—where I engaged with diverse international clientele in a high-energy entertainment environment.

General Manager, Account Management, Bartender — Birrone Padova (Biba Spa), Padua, Italy

Sep 2022 – Dec 2023

• Rapidly advanced to venue management responsibilities, overseeing comprehensive operational aspects including supply chain management and vendor relations, client acquisition and retention strategies, event planning and execution, staff scheduling and supervision, while maintaining hands-on involvement in daily operations across bartending, table service, and kitchen coordination to ensure seamless customer experiences and business continuity.

Staff Manager, Bartender — The Monkey Shoulder Bar, Dueville (VI), Italy

Feb 2019 – Feb 2021

• Supervised team operations by coordinating shift assignments, providing staff guidance, and fostering a productive work environment, while also curating and executing special events to expand the customer base and preparing craft cocktails with a strong emphasis on personalized customer service and satisfaction.