JP Kabler is a Full Stack ML/AI Engineer with 12 years of experience building data-driven products and tooling that turn ambiguous business problems into actionable decisions. He has led engineering and data science efforts at Alteryx—shipping WYSIWYG dashboards, Python integrations, and a Machine Learning Toolkit that empowers non-coders—and now applies that blend of product, ML, and full-stack skills at Automatiq. Comfortable across ETL, NLP, visualization, and scalable analytics, he thrives on problems others deem impossible and enjoys discovering the best tools for the job. Based in Lynchburg, VA, he combines enterprise-grade delivery experience from Booz Allen and Orchestro with hands-on instruction and consulting, making him equally effective mentoring teams or shipping production systems. An uncommon strength is his focus on democratizing data science: building real applications that give analysts the power of data scientists without requiring code.
12 years of coding experience
12 years of employment as a software developer
Virginia Tech
BS, Economics, BS, Economics at Virginia Tech - Pamplin College of Business
Contributions:10 PRs, 17 pushes, 1 branch in 4 months
initialdocker
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JP Kabler - Full Stack ML AI Engineer at Automatiq