Hugo Villanúa Vega

Hugo Villanúa Vega

Engineering Lead @ Rapyuta Robotics

About Hugo Villanúa Vega

Hugo Villanúa Vega is an Engineering Lead at Rapyuta Robotics in Tokyo, Japan, with extensive experience in software architecture for Autonomous Mobile Robot solutions and AI consulting. He holds a Computer Science Engineer degree and multiple advanced qualifications, including an MBA and various nanodegrees from Udacity.

Work at Rapyuta Robotics

Hugo Villanúa Vega serves as the Engineering Lead at Rapyuta Robotics, a position he has held since 2021. In this role, he is responsible for designing and implementing software architecture specifically for Autonomous Mobile Robot (AMR) solutions. His work focuses on enhancing the company's capabilities in robotics and automation, contributing to the development of innovative technologies in the field.

Education and Expertise

Hugo has a strong educational background in computer science. He earned a Computer Science Engineer degree from Universidad Complutense de Madrid, completing his studies in 2012. He furthered his education by obtaining an MBA from Quantic School of Business and Technology in 2021. Additionally, he has completed multiple nanodegrees from Udacity, including Data Analyst, Self-Driving Car, and Deep Learning, which have equipped him with advanced skills in data analysis and artificial intelligence.

Background

Before joining Rapyuta Robotics, Hugo held various positions that contributed to his expertise in engineering and data analysis. He worked as an Engineering Department Manager at Cross Compass, Ltd. from 2018 to 2021, and as a Data Analyst at HI Iberia Ingeniería y Proyectos from 2016 to 2018. His earlier experience includes a role as a Development Engineer at Indra and as an Embedded Software Engineer at Hanscan Spain S.A.

Achievements

Hugo has led significant transformations in data processing, notably improving the ETL process by transitioning from Excel to a big data platform that incorporates Hadoop and Hive. He has also automated parts of this process using AI techniques such as clustering. In addition to his technical contributions, he actively mentors junior engineers, emphasizing coding standards and agile methodologies, and promotes cross-departmental communication to enhance product development.

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