Summary
Ivan Pyzow is a Staff AI/Machine Learning Engineer in Chicago with 11 years of experience building and productionizing ML systems, from research prototypes to shipped product features. He has led cross-functional teams at DataRobot to deliver fairness and vision capabilities—Bias Mitigation, Unsupervised Multi-Modal Clustering, Visual Anomaly Detection, and Image Augmentation—while driving a multi-year reliability initiative that reduced testing costs and enabled meta-learning work. Comfortable across full-stack ML development, Ivan pairs hands-on coding with product and stakeholder coordination and mentors junior engineers through pair programming and career coaching. His background spans applied consulting at McKinsey, systems development at McMaster-Carr, and academic math training from the University of Chicago, reflecting a mix of rigorous quantitative foundations and practical engineering. Notably, he has a history of making principled career choices, publicly distancing himself from ethically troubling work and prioritizing socially responsible applications of AI.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science with Honors, Mathematics, Bachelor of Science with Honors, Mathematics at University of Chicago