Jordan Vonderwell is a software engineer based in Madison, Wisconsin with a decade of experience building data infrastructure and analytics systems at companies like Square and Google. He combines a strong academic foundation in computer science and statistics from UW–Madison with hands-on research into data quality and adversarial poisoning from his work on Holoclean. Jordan has applied ML to real-world problems—creating neural embeddings for clinical concepts at Epic that measurably improved model accuracy and developing scalable analytics pipelines at both startups and large tech firms. He is comfortable managing large datasets and translating statistical insight into production-ready systems that drive decision-making. Known for bridging research and product execution, he brings a pragmatic focus on data integrity and model robustness that’s informed by both academic research and production experience.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science & Statistics, Bachelor of Science - BS, Computer Science & Statistics at University of Wisconsin-Madison
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