Summary
Andrew Oberlin is a Principal Software Engineer with 13 years of experience building large-scale, realtime systems and AI inference infrastructure at Amazon, where he leads Amazon AGI's realtime model stack from cloud compute to core inference and training. He combines hands-on expertise in Python, C++, Java and low-level languages with product-minded delivery, taking AI features from research collaboration to customer-facing services like automated customer care. Known for designing full-stack, end-to-end solutions that bridge model architecture and production constraints, he frequently partners with scientists to operationalize novel models at scale. Based in Seattle, he holds MS and BS degrees in Computer Science (and a BS in Mathematics) from Miami University and brings a rare mix of systems engineering depth and applied ML product experience.
14 years of coding experience
13 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Miami University