Fabian Bergmann
About Fabian Bergmann
Fabian Bergmann is a Machine Learning Engineer currently working at ML6 in Berlin, Germany. He has a background in computer science from Technische Universität Berlin and has experience in both theoretical and practical aspects of machine learning.
Current Role at ML6
Fabian Bergmann currently serves as a Machine Learning Engineer at ML6, a company specializing in artificial intelligence solutions. He has been with ML6 since 2022, contributing to various projects in Berlin, Germany. His role involves applying machine learning techniques to solve complex problems and enhance AI capabilities.
Previous Experience at Fraunhofer FOKUS
Before joining ML6, Fabian worked as an Applied Researcher at Fraunhofer FOKUS from 2019 to 2023. During his four years there, he focused on research and development in machine learning, contributing to various applied projects that aimed to advance technology in practical applications.
Educational Background
Fabian Bergmann studied at Technische Universität Berlin, where he earned both a Bachelor's degree and a Master of Science in Computer Science. His undergraduate studies spanned from 2015 to 2019, followed by his master's program from 2019 to 2022. This educational foundation equipped him with essential knowledge in computer science and machine learning.
Technical Expertise
Fabian specializes in Retrieval Augmented Generation architectures, which improve interactions with knowledge bases in chat-like applications. He has experience in setting up cloud infrastructure using Infrastructure-as-Code for machine learning solutions and follows MLOps best practices to ensure efficient machine learning operations. His skills also include deploying scalable machine learning services and designing cloud microservices.
Teaching and Research Experience
Fabian has also contributed to academia as a Tutor in Theoretical Computer Science at Technische Universität Berlin from 2017 to 2018. Additionally, he completed a research internship at Grenoble INP - UGA in France from 2018 to 2019, where he gained practical experience in research methodologies and machine learning applications.