A Principal Scientist with a knack for blending state-of-the-art AI with real-world impact, Andrew has earned a reputation as a leader who doesn’t just push boundaries—he helps reshape entire industries. With over two decades of experience, including founding and scaling a successful ML startup, Andrew has developed groundbreaking solutions in record linkage, supply chain optimization, and data deduplication. Most recently, he spent 10 plus years at Amazon as the lead scientist on projects that brought powerful but easy-to-use "automatic machine learning" techniques to product demand forecasting and large-scale product classification. In addition, he developed a record linkage system for Amazon internal applications ranging from Amazon Prime Video to the Amazon Product Catalog which was later turned into an AWS Service. Andrew is the author of multiple highly cited publications and patents that address the accuracy and scalability of an ML-based record linkage system. His influential doctoral thesis was among the first to apply ML to NLP. At Auger, Andrew aims to leverage his deep expertise in AI and ML to build transformative solutions for supply chain automation, ensuring Auger customers benefit from cutting-edge science that is seamlessly integrated into their workflows.