Summary
Kim Kraunz is a Senior AI Engineer with 11 years of experience building production-ready machine learning and MLOps systems that turn business goals into automated, scalable solutions. Currently leading AI R&D at HubSpot after heading data science at Mimoto, she specializes in model monitoring, drift mitigation, and cloud-native architecture to keep real-time predictions reliable. Her background spans cyberattack detection, large-scale forecasting and anomaly detection, and NLP-driven customer matching, reflecting a rare mix of statistical rigor and operational delivery. Trained as a scientist (Sc.D. from Harvard) and certified in leadership at Stanford GSB, she combines deep technical expertise with cross-functional stakeholder management and a track record of moving models from research into robust production. An often-overlooked strength is her early work in environmental engineering and program evaluation, which honed her ability to translate complex domain problems into measurable, data-driven outcomes.
11 years of coding experience
16 years of employment as a software developer
Certificate in LEAD Business and Leadership, Certificate in LEAD Business and Leadership at Stanford University Graduate School of Business
Data Science, Data Science at General Assembly
Bachelor of Science (B.S.) Environmental Engineering and Biology, Bachelor of Science (B.S.) Environmental Engineering and Biology at Washington University in St. Louis
Doctor of Science (Sc.D.) Genetics and Complex Diseases, Doctor of Science (Sc.D.) Genetics and Complex Diseases at Harvard T.H. Chan School of Public Health