Matthew Krueger
About Matthew Krueger
Matthew Krueger is the Director of Machine Learning and AI at Peak Ventures, where he focuses on enhancing machine learning operations. He has extensive experience in machine learning, data science, and engineering management, having previously held positions at Best Buy and System1.
Current Role at Peak Ventures
Matthew Krueger serves as the Director of Machine Learning and AI at Peak Ventures since 2024. In this role, he focuses on advancing the company's machine learning strategies and implementing AI solutions. His leadership aims to enhance operational efficiencies and drive innovation in machine learning applications.
Previous Experience in Machine Learning and Data Science
Before joining Peak Ventures, Matthew held various positions in the field of machine learning and data science. He worked at System1 as a Senior Engineering Manager, overseeing projects related to search, recommendations, natural language processing, and generative AI from 2022 to 2023. Prior to that, he was with Best Buy, where he served as a Staff Machine Learning Scientist and Associate Director, contributing to search, personalization, and forecasting initiatives.
Educational Background in Computer Science
Matthew Krueger studied Computer Science at the Georgia Institute of Technology, where he earned a Master of Science degree with a focus on machine learning from 2016 to 2018. He also attended the University of Hawaii at Manoa for a brief period in 2015, furthering his knowledge in computer science.
Technical Contributions and Projects
Matthew has made significant contributions to machine learning operations, including deploying and managing a vector database solution and workflow orchestration on Kubernetes. He has created micro-services to streamline the machine learning lifecycle and has migrated to semantic similarity for search functionalities, enhancing search capabilities at Best Buy.
Engagement in Professional Development and Team Building
Matthew actively engages in learning about the latest advancements in machine learning and large language models. He emphasizes team building and personal development, collaborating cross-functionally with teams to provide vision on MLOps and accelerate model iterations. His presentations at internal tech conferences have showcased team capabilities and fostered cross-business support.