Mike Leske
About Mike Leske
Mike Leske is a Senior Customer Engineer at ML6 in Berlin, Germany, with extensive experience in MLOps, FMOps, and Active Machine Learning. He holds a PhD candidacy in Bio AI and has a strong background in artificial intelligence, having worked at Cisco and Vodafone in various technical roles.
Work at ML6
Mike Leske has been employed at ML6 as a Senior Customer Engineer since 2021. In this role, he focuses on operationalizing machine learning models and enhancing customer solutions. His work involves utilizing advanced techniques in MLOps and FMOps, contributing to the effective deployment of AI technologies within corporate environments. Based in Berlin, Germany, he leverages his extensive background in machine learning and AI to support clients in achieving their business objectives.
Education and Expertise
Mike Leske is a PhD candidate at the ADAPT Centre, specializing in Bio AI from 2024 to 2027. He holds a Master of Science in Artificial Intelligence from Munster Technological University, completed in 2021, and a Bachelor's Degree in Applied Informatics, Network Systems Engineering from the University of Duisburg-Essen, achieved in 2009. Additionally, he completed a course on Machine Learning on Graphs at Stanford University in 2022. His educational background supports his expertise in areas such as MLOps, LLM chatbots, and image generation AI.
Professional Background
Mike Leske has a diverse professional background with significant experience in the technology sector. He worked at Cisco for over seven years in various roles, including Network Consulting Engineer and Technical Leader, focusing on cloud infrastructure and network function architecture. Prior to Cisco, he served as a Technical Support Engineer at Vodafone and as a Support Engineer at Swyx Solutions GmbH. His career spans multiple positions that have equipped him with a comprehensive understanding of network systems and machine learning applications.
Technical Skills and Contributions
Mike Leske possesses deep technical skills in machine learning and AI. He has experience in productionizing LLM chatbots using vector databases and the Langchain framework. His expertise extends to quantization techniques and image and text embeddings for semantic search on corporate data. He is knowledgeable about prompting strategies and fine-tuning for Generative AI and Vision-Language models, which enhances his contributions to machine learning projects.