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Politecnico di Torino
Data Scientist
June 28, 2026 – Present
CucumBERT_askqe
January 31, 2026 – Present
Extensions to AskQE for Machine Translation Quality Estimation, developed for the Deep Natural Language Processing course.
View Projectintervalio
January 24, 2026 – Present
Intervalio is a smart, energy‐aware planner that helps remote and hybrid workers schedule focused work sessions and restorative breaks around their real energy levels. It includes a high‐fidelity desktop prototype with AI suggestions, synchronized team breaks, and insights to support healthier, sustainable work routines.
View Projectsemantic_correspondence
December 10, 2025 – Present
This project evaluates and fine-tunes models like DINOv2, DINOv3, and Segment Anything Model (SAM) for dense matching tasks, enabling precise keypoint matching across semantically similar images.
View Projecthygrometer
November 27, 2025 – Present
IoT edge‐cloud system on Raspberry Pi with DHT‐11 sensor, Redis Cloud storage, and custom KWS voice interface for real‐time temperature/humidity monitoring
View ProjectCARE
November 22, 2025 – November 25, 2025
Project developed during reply agentic clash 2025 at Politecnico di Torino - earned #2 Place overall
View ProjectRaspberryPi-keyword-spotting
October 9, 2025 – December 9, 2025
RaspberryPi-keyword-spotting — GitHub repository
View Projectruggine
July 25, 2025 – July 25, 2025
Rust project - multiplatform chat application developed as part of the "System Programming" course at Politecnico di Torino. The system consists of a Rust backend and a Flutter client, focusing on concurrent programming, memory safety, and real-time communication protocols. The application supports private messages, group chats, and invitations.
View Projectxai_autonomous_driving
July 13, 2025 – September 11, 2025
Project developed for the XAI course, demonstrating advanced competency in explainable AI methodologies, concept bottleneck models, temporal reasoning, and interpretable machine learning for autonomous driving applications, showcasing expertise in bridging high-performance deep learning with transparent decision-making in safety-critical AI systems
View Projectgioco-sfortuna
June 1, 2025 – June 27, 2025
This project was developed as part of the Web Applications I course (2024/25) at Politecnico di Torino. It demonstrates proficiency in modern web development practices, including SPA architecture, RESTful API design, secure authentication, and responsive user interfaces.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards innovation and continuous learning, aligning well with a dynamic, research-oriented environment. The variety of personal projects, including those from university courses and competitive events, indicates self-motivation and a passion for technology beyond formal requirements. The target role of 'Data Scientist' is well-supported by several deep learning and AI-focused projects. However, the lack of professional experience beyond a current role at Politecnico di Torino (which started recently) means cultural fit is primarily inferred from academic and personal project engagement.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and problem-solving. The diversity of projects, from system programming to web development and IoT, suggests adaptability and a broad technical curiosity. The competitive success in 'CARE' implies a results-oriented mindset and ability to perform under pressure. However, without direct assessment data on communication, teamwork, or stress handling, a definitive evaluation of soft skills and operational fit is limited.