Stirling Carter is a Senior Software Engineer based in New York with nine years of experience building AI platforms, advertising products, and payment/insights systems for companies from startups to large enterprises. He’s moved from research on distributed control for autonomous quadrotors into production engineering, blending a strong mathematical background (Vanderbilt) and formal study in machine learning (National University of Singapore) to ship robust ML-powered platforms. At Disney Streaming and now Doctronic he focused on AI platform engineering, applying product-minded design to scale model infrastructure and advertising workflows. Known for bridging research rigor and pragmatic production practices, he brings an uncommon combination of applied math, machine learning training, and hands-on systems delivery.
9 years of coding experience
5 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Vanderbilt University
Machine Learning & Statistical Methods, Machine Learning & Statistical Methods at National University of Singapore
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