Luis Sobrecueva
About Luis Sobrecueva
Luis Sobrecueva is a Data Engineer at Cabify with extensive experience in software engineering and a background in artificial intelligence and data science.
Title and Current Role
Luis Sobrecueva is currently a Data Engineer at Cabify, working remotely since 2023. Prior to this role, he served as a Software Engineer at Cabify starting in 2020 in Barcelona, Catalonia, Spain.
Past Employment
Luis Sobrecueva has held several positions throughout his career. From 2017 to 2020, he worked at InfoPraca.pl as a Lead Software Engineer in Barcelona. Before that, he was a Lead Developer at Careesma, Intercom World Wide (Infojobs International) from 2015 to 2017. He also co-founded and developed software at Subzin from 2008 to 2009 and was a Full Stack Engineer at Intercom Worldwide from 2008 to 2015. His early career includes roles at Velneo as a Senior Software Engineer (C++) from 2005 to 2008, a C++ Programmer at Atica Software from 2001 to 2005, and a Research Fellow at Universidad de Oviedo from 1998 to 2001.
Education and Certifications
Luis Sobrecueva's educational background includes a MicroMasters Program in Statistics and Data Science from Massachusetts Institute of Technology (MIT) achieved between 2019 and 2020. He also completed courses on Artificial Intelligence and Machine Learning through MITx, Udacity, and Coursera. He holds a Bachelor's degree in Computer Software Engineering from Universidad Nacional de Educación a Distancia (UNED). Additionally, he has credentials in Website Performance Optimization from Udacity.
Technical Skills and Expertise
Luis Sobrecueva has a strong technical background, with extensive experience working with Golang and Elixir, specifically focusing on unit, integration, and functional testing. In his current projects, he employs continuous integration and Test Driven Development practices. His expertise extends to data engineering and software development, bringing valuable skills to his roles.
Published Work
Luis Sobrecueva is the author of the book 'Automated Deep Learning with Auto-Keras,' showcasing his knowledge and expertise in the field of artificial intelligence and deep learning algorithms. This publication solidifies his contribution to the tech community and positions him as an expert in leveraging automation within deep learning.