Summary
Korte Maki is a Senior Machine Learning Engineer with 14 years of experience building practical AI and NLP systems that tame messy, real-world data for supply chain and product teams. After a multi-year research and teaching stint at Carnegie Mellon's Language Technologies Institute, Korte led data science teams at Verusen to create production-ready duplicate detection, harmonization, and intelligence tools for dirty supply-chain datasets before joining Calendly to apply ML at scale. He blends rigorous academic foundations in language technologies and applied mathematics with hands-on engineering—shipping prototypes, leading cross-functional teams, and turning research into reliable pipelines. Known for making complex data problems tractable, he pairs curiosity about human communication with a maker’s drive to build usable systems.
14 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Computer Science; Applied Mathematics, Computer Engineering, and Physics, Bachelor of Science - BS, Computer Science; Applied Mathematics, Computer Engineering, and Physics at University of Wisconsin-Madison
Graduate Certificate Program, Generative AI and Large Language Models, Graduate Certificate Program, Generative AI and Large Language Models at Carnegie Mellon University
High School Diploma, High School Diploma at Menomonie High School
English, German