Vlad Kroz is a seasoned technology leader with 11+ years building and scaling search, personalization, and ML-driven systems for high-traffic commerce platforms. Currently managing Search Science and AI at Amazon, he leads engineering and research efforts in semantic search, advanced language models, multi-modal search and global search quality. His background includes architecting petabyte-scale search and telemetry pipelines at Walmart and Loggly, and founding a boutique that delivered big-data search solutions to telecom and e-commerce clients. Vlad combines hands-on distributed systems expertise with ML Ops and data-platform fluency, and brings a pragmatic delivery focus from requirements to production. He also pairs technical leadership with formal training in robotics and executive coursework at Stanford GSB, enabling a rare mix of deep engineering craft and strategic product insight.
11 years of coding experience
18 years of employment as a software developer
Organizational Leadership, Strategy, Innovation, Organizational Leadership, Strategy, Innovation at Stanford University Graduate School of Business
Master of Science - MS, Robotics, Electrical Engineering, Master of Science - MS, Robotics, Electrical Engineering at Voronezh State Technical University
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