Alvaro Gaona is a seasoned professional with extensive experience in machine learning, software engineering, and education. Currently serving as Lead Machine Learning Engineer at ASAPP, Alvaro oversees the development of natural language processing services, focusing on performance and user experience. Prior roles include Teaching Assistant at Universidad de 'San Andrés', where Alvaro educated undergraduate students in AI and provided academic support, and Research Engineer, leading projects on perception algorithms for self-driving cars. Alvaro's experience also encompasses significant accomplishments at Roche, including a major database migration, and contributions to Telecom Argentina in developing SDN controllers and IPAM applications. Alvaro began a career as an Electronics Technician at Servicio Meteorológico Nacional, where circuit board designs ensured accurate weather measurement. Alvaro holds a Graduate degree in Electrical and Electronics Engineering from the University of Buenos Aires, complemented by an incomplete Graduate degree in Industrial Engineering.
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