Adrián Callejas Zurita
About Adrián Callejas Zurita
Adrián Callejas Zurita is a Becario Cátedra Cabify specializing in intelligent technologies and data science for sustainable mobility at Cabify in Madrid, Spain.
Current Role at Cabify
Adrián Callejas Zurita is currently a Becario Cátedra at Cabify, specializing in intelligent technologies and data science for sustainable mobility. Based in Madrid, Comunidad de Madrid, España, he has held this position since 2022. In this role, Adrián is actively involved in the design and development of functionalities for an agent-based simulator using Python.
Previous Experience at Universidad Politécnica de Madrid
Adrián Callejas Zurita previously worked as a postdoctoral researcher at Universidad Politécnica de Madrid in 2022 for 6 months. His focus was on machine learning. Earlier in 2021, he contributed to the PLICA Project for 4 months, where he designed and developed a microservices-based environment secured with Docker.
Freelance Software Engineering Experience
In 2021, Adrián worked as a Freelance Software Engineer for 6 months in Madrid, Comunidad de Madrid, España. During this period, he gained valuable experience in cloud engineering and DevOps, working with tools such as Docker, Kubernetes, Git & Git Actions, Terraform, and Prometheus.
Educational Background
Adrián Callejas Zurita studied at Universidad Politécnica de Madrid, where he completed his Master Universitario en Ingeniería de Telecomunicación. He also holds a Grado en Ingeniería de Telecomunicaciones with a specialization in Telemática, achieved between 2017 and 2021. His academic excellence is highlighted by receiving a matrícula de honor in his final project and four other subjects.
Technical Expertise and Skills
Adrián is proficient in various programming languages including Python, JavaScript, and bash. His technical expertise extends to cloud engineering and DevOps tools like Docker, Kubernetes, Git & Git Actions, Terraform, and Prometheus. Additionally, Adrián has extensive experience in data analysis and artificial intelligence, utilizing tools such as Pandas, numpy, Matplotlib, Sklearn, and Keras for exploratory data analyses and model creation.