Gabriel Rojas Arciniega
About Gabriel Rojas Arciniega
Gabriel Rojas Arciniega is a Senior Data Scientist and Cloud Architect with extensive experience in machine learning and cloud technologies. He has worked for companies such as umlaut and Sopra Steria, and currently contributes to Zoi in Stuttgart, Germany.
Work at Zoi
Gabriel Rojas Arciniega has been employed at Zoi since 2021, where he holds the position of Senior Data Scientist and Cloud Architect. In this role, he focuses on deploying machine learning projects and integrating AI models into various platforms. His work involves utilizing Azure Kubernetes Services, helm, terraform, and Azure DevOps pipelines to ensure efficient project execution. Gabriel's contributions to Zoi reflect his extensive experience in data science and cloud architecture.
Previous Experience at umlaut
Before joining Zoi, Gabriel worked at umlaut company from 2017 to 2021 as a Data Scientist. During his four years in Ingolstadt, Bavaria, Germany, he contributed to various projects, enhancing his skills in data analysis and machine learning. His experience at umlaut laid a strong foundation for his subsequent roles in data science.
Previous Experience at Sopra Steria
Gabriel Rojas Arciniega served as a Big Data Engineer at Sopra Steria for eight months in 2016 and 2017. His role in Madrid, Spain, involved working on big data solutions, which further developed his technical expertise in data processing and analytics.
Education and Expertise
Gabriel holds two Master's degrees in plasma physics and nuclear fusion, one from Université Paris-Saclay and another from Université Pierre et Marie Curie (La Sorbonne). He also completed his undergraduate studies in Ciencias físicas at Universidad Complutense de Madrid. His educational background provides a strong theoretical foundation for his work in data science and machine learning.
Projects and Collaborations
Gabriel has worked on several notable projects, including an audio classification project using TensorFlow Lite to detect machine failures. He collaborated with the Autonomous Driver Assistance System (ADAS) team for AUDI AG and the Amazon DeepRacer team. Additionally, he has experience in deploying computer vision projects for industrial applications using AWS Sagemaker and TensorFlow object detection API.