Francesco Stante

• Improved satellite-based Land Surface Temperature (LST) retrievals under heavy dust aerosol conditions using radiative transfer models, satellite data, model simulations, and in-situ observations.
• Built and curated new datasets to train machine learning algorithms for enhanced retrieval performance.
• Used Python extensively for data processing, simulation, and algorithm development.
• (Note: Publication currently in preparation.)

• Developed an iOS app combining Google Maps with an LLM (Gemini) for travel and restaurant recommendations, using Google Cloud APIs, Vertex AI, and Firebase.
• Implemented a recommendation engine analyzing restaurant reviews, opening hours, cuisine types, and ratings to provide personalized suggestions.
• Designed and deployed backend services with App Check security.

• Created an interactive philosophy website with discussion mapping functionality (HTML, CSS, JS, PHP, SQL).
• Developed a linked iOS app enabling users to contribute condensed thoughts and visual representations of complex ideas.
• Built a second website allowing users to submit personal stories tied to locations worldwide, using a custom Google Maps integration.