Sebastian Wehkamp
About Sebastian Wehkamp
Sebastian Wehkamp is a Machine Learning Engineer with a strong academic background in computer science and artificial intelligence. He has worked at various companies, including Manter International B.V. and ML6, and has contributed to projects focused on coral segmentation and image-based anomaly detection.
Work at ML6
Sebastian Wehkamp has been employed at ML6 as a Machine Learning Engineer since 2021. His role involves developing and implementing machine learning solutions to address various challenges. ML6 is known for its focus on artificial intelligence and machine learning, providing innovative solutions across different sectors. Wehkamp's expertise contributes to the company's mission of leveraging data to drive business insights.
Education and Expertise
Sebastian Wehkamp holds a Bachelor's degree in Computer Science from the University of Groningen, which he completed from 2013 to 2017. He further pursued a Master's degree in Computer Science at the same institution from 2017 to 2019. Additionally, he obtained a Master's degree in Artificial Intelligence from KU Leuven, studying there from 2019 to 2020. This educational background equips him with a strong foundation in machine learning and artificial intelligence.
Background
Before joining ML6, Sebastian Wehkamp worked at Manter International B.V. as a Machine Learning Engineer for ten years, from 2011 to 2021. He also briefly served as a Machine Learning Specialist at Emit IT in 2021 for eight months. His extensive experience in the field of machine learning spans various projects and roles, contributing to his current position at ML6.
Projects and Contributions
Sebastian Wehkamp has worked on notable projects, including developing a coral segmentation model that utilizes sparse data. He has also authored blog posts that focus on machine learning topics, such as optimizing Retrieval Augmented Generation (RAG) by enhancing retriever performance and exploring image-based anomaly detection using Anomalib. These contributions reflect his engagement with the machine learning community.