Jungle
Daniel Nunes is a highly skilled Machine Learning Engineer currently working at Jungle since August 2022. Prior experience includes roles as a Software Developer and Audio Engineer at Musica - Impuls Centrum voor muziek, where contributions to the "ZIMZUM BABELUT PARCOURS" project involved sound engineering and software development for children. Daniel also served as an Audio Software Developer for Ana Filipa Botelho at the Orpheus Institute, focusing on analog signal processing and real-time video processing using ML models. Other notable experiences include management roles at Instituto Superior Técnico's Technology Transfer Office and as Vice-President and President of NEMat - Materials Engineering Student Organization. Daniel holds Master's degrees in Informatics from Faculdade de Ciências da Universidade de Lisboa and in Computer Science from KU Leuven, as well as Bachelor's degrees in Materials Engineering and Biology.
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Jungle
Jungle applies Artificial Intelligence to increase the uptime and performance of renewable energy sources. Built on existing sensors and data streams, our technology enables solar and wind energy owners to squeeze more energy out of their sources, accelerating the world’s transition to renewable energy sources.We have productised our services,tooling, and AI into a web application, Canopy. We operate at large scale -handling millions of data points per day, and provide the results of our always-on predictive models, together with advanced investigative tools to some of the most sophisticated companies in the global renewable energy space.