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Designer with a proven track record in multidisciplinary disciplines, including UX/UI, contemporary art, teaching, and research.

PhD in Fine Arts, and Master in Technology Intelligence and Digital Design.

Extensive experience in UI/UX design, working for companies such as Google, Roche, and startups in EMEA and LATAM, conceptualizing and implementing design solutions for mobile and web applications.

Effective leader with a background in Technology, Machine Learning and Artificial Intelligence with expertise in agile methodologies, branding, and strategic UX design. Projects awarded prizes from organizations such as the International Design Awards, Webby, and FWA. Certified in UX Design, Copenhagen Institute of Interaction Design

Work selected for residencies such as L'AiR Arts Paris and Joya: AIR arte + ecología, and exhibited in Lisbon, Barcelona, and Paris. Currently teaching at EINA Barcelona.






Designer with a proven track record in multidisciplinary disciplines, including UX/UI, contemporary art, teaching, and research. PhD in Fine Arts. Effective team leader with a background in Machine Learning and AI with expertise in agile methodologies, branding, and user-centered design at Google, Roche, and startups across LATAM & EMEA.



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FLANER APP

2017-2019

Flaner was created in 2019 as a digital memory extension platform that offers new ways to discover and explore cities.

In today’s world, overloaded with information, Flaner uses AI technology to provide a seamless tool that automatically extracts relevant places mentioned in content the user desires to remember, creating customized Placelists and maps, and bringing back this information at the right moment and in the right context.




As lead Designer, I was responsible for creating the concept of the Android/iOS app from earliest stage, from first pitch, prototype to full launch in Jan 2018. Besides UX/UI design, my responsibilities also included Motion Design, Film-Making, Branding and User Research and Testing.



Sample low-fi wireframes




Landing page



Sample flows and behaviors




Machine Learning System Flow

Mobile



Desktop




Video demo




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