Based in Verona, Italy. Full Stack Developer & AI Engineer with 5+ years of production experience and MSc research in Deep Learning. 2x AI Hackathon Winner (2026).
Current active research: Applying deep learning architectures to biomedical imaging for oncological genomic analysis.
Developing core modules for a comprehensive restaurant management platform. Architected forecasting systems, inventory management, and invoice parsing using Vue, NestJS, and TypeScript while also designing UI and UX flows in Penpot.
Contributed to early internal web apps, focusing on UI prototyping and mastering agile development cycles.
Assisted in programming tasks and software maintenance during an introductory internship, gaining hands-on experience with real-world codebases, testing procedures, and collaborative team environments.
Awarded the "Applied Intelligence Award" at RelazionEXPO Startup Generation Challenge for CoolCheck, an AI-driven urban microclimate intelligence platform combining satellite data and IoT sensors to help with the problem of urban heat (“Città a 40 gradi”).
Awarded the Special Prize at Elevator Hackathon 2026 for building Zeer, an autonomous multi-agent product validation engine within 24 hours.
Winner of the Special Prize at Elevator Hackathon 2026. Built in 24 hours, Zeer is an autonomous product validation engine. It ingests prototype designs and technical briefs to synthesize an "AI Jury" of diverse target personas. Using an async agentic loop via the Gemini API, it simulates market reception, aggregates objections, and iteratively mutates product descriptions and pricing until maximum conversion is achieved.
Master's thesis research engineering customised deep learning architectures to segment and detect extrachromosomal DNA (ecDNA) within multi-channel fluorescence microscopy of adenocarcinoma nuclei.
Contributing to the official Italian localization of Showly, a popular open-source mobile application for tracking movies and TV shows. Translating and reviewing UI strings via Crowdin to ensure context-accurate phrasing and improve the user experience.
Contributed to an open-source university initiative focused on environmental sustainability and student engagement. Enhanced the platform by resolving critical bugs and implementing new features across the full stack to improve system stability.
A collection of personal projects driven by the continuous exploration of technologies. Key developments include browser automation scripts using Selenium, the implementation of foundational cryptography algorithms, and the creation of automated data handling pipelines integrated with Google Sheets.
Master's degree focused on Intelligent Systems with specialization in AI, Computer Vision, and Human-Computer Interaction. Researching deep learning segmentation and classification models for computational oncology.
Built foundational knowledge in algorithms, data structures, and software engineering principles.
Completed a comprehensive curriculum with a strong specialization in Information Technology, building early technical foundations and programming skills.
Developed the official TEDxUniversityofVerona website. Collaborated closely with cross-functional teams to translate event requirements into digital solutions.
Contributed to the development of the official website for DevFest 2026, ensuring an optimal user experience for attendees. Accelerated technical capabilities by co-organizing monthly meetups and workshops, collaborating with speakers and sponsors to deliver high-value content to the developer community.
Tutored high school students in IT-related subjects, adapting complex technical workflows to create accessible learning experiences for individuals with specific learning disorders.