Julian Weisbord is an Applied AI and Computer Vision engineer with 11 years of experience building production ML systems and leading cross-functional teams. He has repeatedly taken projects from research and prototype to deployed pipelines—everything from edge object detection on Jetson Nanos to large-scale recommendation and forecasting systems serving millions of users. As Principal ML Engineer at Polaris he designed a generative LLM for 3D athlete motion using IMU data and deployed the pipeline on AWS SageMaker in collaboration with Nike, and he has a track record of choosing and negotiating enterprise data platforms like Snowflake and Databricks. He runs Hawthorne AI, delivering fast-turnaround ML/CV/IOT projects for enterprise clients, and has shipped solutions that eliminate cookies with sub-120ms fuzzy-matching and optimize SKU-level production schedules. Based in Vancouver, Washington, he blends hands-on model development with product leadership and vendor strategy, often surfacing practical engineering trade-offs that accelerate time-to-value.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science and Electrical Engineering Minor in Business and Entrepreneurship, Bachelor of Science (B.S.) Computer Science and Electrical Engineering Minor in Business and Entrepreneurship at Oregon State University
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