Raúl Moreno Galdón
About Raúl Moreno Galdón
Raúl Moreno Galdón is a Cloud Engineer with extensive experience in Azure cloud solutions and high-performance computing. He has worked at notable organizations including IBM, NASA Jet Propulsion Laboratory, and Keepler Data Tech, and holds a PhD in Advanced Computer Technologies.
Work at Keepler
Raúl Moreno Galdón has been employed at Keepler Data Tech as a Cloud Engineer since 2021. His role involves working remotely and contributing to cloud solutions, particularly in the Azure environment. His expertise in cloud operations and infrastructure supports Keepler's initiatives in data management and analytics.
Education and Expertise
Raúl holds a PhD in Advanced Computer Technologies from Universidad de Castilla-La Mancha, which he completed from 2013 to 2019. He also earned a Master's degree in Advanced Computer Science Technologies in 2013 and a Bachelor's degree in Computer Science in 2012. His academic background is complemented by expertise in bioinformatics, high-performance computing, parallel computing, and optimization, with a specific focus on Azure cloud solutions.
Background
Raúl's professional journey includes significant roles in various organizations. He worked as a public cloud Azure expert engineer at SolidQ and IBM, where he was involved in Azure Cloud operations. His earlier experience includes a position as a predoctoral researcher at Universidad de Castilla-La Mancha, where he focused on high-performance computing from 2015 to 2019.
Achievements
Raúl has contributed to notable projects in the field of Earth Sciences, specifically in optimizing and accelerating the Weather Research and Forecasting model (WRF) and the Community Earth System Model (CESM). His work in bioinformatics includes applying high-performance techniques to DNA sequence analysis, showcasing his ability to integrate computing with biological research.
Previous Experience
Prior to his current role, Raúl gained experience as an intern researcher at NASA Jet Propulsion Laboratory in 2017 and as a predoctoral researcher at Technische Universiteit Delft in 2019. He has also held various positions at Universidad de Castilla-La Mancha, including roles in software maintenance and hydrological software optimization.