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Paul Shved is a Machine Learning Engineer specializing in perception at BlueSpace.ai, contributing to the development of a Self-Driving Stack for various use-cases such as construction and military applications since September 2021. Previously, Paul held positions as an ML Engineer at Ghost, focusing on perception models for autonomous vehicles, and as a Senior Software Engineer at Zoox, where research and implementation of Lidar perception models led to improved performance metrics. Paul's earlier experience includes significant roles at Google, where involvement in the GCP Serverless product and ML Infrastructure for Google Search Ads shaped a strong foundation in machine intelligence. Additional tenure at ROSA Laboratory and ISPRAS provided experience in software engineering and research in static software analysis. Paul holds a Graduate Certificate in Artificial Intelligence from Stanford University and advanced degrees in Computer Science and Physics from Moscow Institute of Physics and Technology.