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

• Designed and deployed production-ready conversational AI solutions including RAG-based chatbots and autonomous agents for internal service desk operations, implementing hybrid semantic and full-text search pipelines with Elasticsearch, custom document processing workflows, and LLM-powered response generation, fully containerized with Docker.
• Developed a real-time voice assistant integrated with enterprise telephony infrastructure for automated phone support, leveraging OpenAI Realtime API for bidirectional voice conversations, audio preprocessing pipelines, automated ticket creation via REST API, and intelligent call routing with escalation to human operators.

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

Sep 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 for the frontend and building scalable server-side architecture with Node.js and Express for the backend, while designing and integrating RESTful API endpoints and managing data persistence across both PostgreSQL (via the native pg client with raw SQL queries) and MongoDB (with Mongoose), adapting to different project requirements and data modeling needs.
• Actively participated in collaborative code review sessions and performance optimization initiatives, identifying bottlenecks in database query patterns and implementing indexing strategies and query refactoring techniques that resulted in approximately 15% reduction (measured via EXPLAIN ANALYZE) in database response times, thereby improving overall application responsiveness and backend efficiency.

Deep Learning & DevOps Intern — AppLibra s.r.l., Thiene, Italy

Oct 2021 – Dec 2021

• Developed and deployed a real-time computer vision quality control system using YOLOv5 (PyTorch) and OpenCV to detect bottle cap defects (missing, misaligned, or correctly placed caps) on six-bottle crates moving along a production conveyor belt, handling the full pipeline from dataset annotation using LabelImg to model training on GPU (CUDA) and real-time inference via command line on a Docker-based Linux environment.
• Configured and deployed a BaGet server within a Docker container on Linux to serve as a private NuGet package repository for internal .NET development teams, standardizing the distribution and version control of shared libraries across projects and eliminating manual dependency management workflows that were previously prone to versioning conflicts and inconsistencies.
• Contributed to an enterprise resource planning migration from Microsoft Dynamics Navision to Dynamics 365 Business Central, developing custom pages and forms using both C/AL (C/SIDE) and AL (VSCode), building XMLports for structured data import/export to ensure accurate data migration across client organizations, and adapting existing business logic to meet the specific operational requirements of diverse client environments.

Data Analyst Intern — ULSS 7 Pedemontana, Thiene, Italy

Jun 2015 – Aug 2015

• Independently configured and tested a digital signature system across public-facing offices in a regional hospital, establishing secure document authentication workflows and ensuring compliance with healthcare data privacy regulations.
• Set up a network-based data collection and sharing system between hospital departments, automating previously manual document management processes and reducing paper-based workflows across administrative offices.

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.