Alex Ge is a Senior Software Engineer with 11 years of experience specializing in ML platforms, model serving, and data infrastructure, currently building machine learning platform capabilities at Upstart. He previously shaped production ML workflows and CV solutions at Redfin and SAS, where he developed model deployment pipelines, ONNX interoperability, and mobile/embedded computer vision prototypes. Comfortable across the stack, Alex blends applied mathematics training from Columbia with hands-on engineering to move models from research to robust production. He has deep practical experience in model serving, data pipelines, and tooling for multi-GPU training and monitoring. Colleagues rely on him to bridge data science and engineering, turning complex ML requirements into maintainable, scalable systems. Based in Cary, NC, he brings a pragmatic focus on reliability and operationalizing ML that’s informed by diverse industry deployments.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at Columbia University
The SAS Deep Learning Python (DLPy) package is the high-level Python APIs to SAS Deep Learning Toolkit on SAS Cloud Analytic Services (CAS). It allows users to build deep learning models using friendly Keras-like APIs.
Contributions:107 pushes, 9 branches in 2 years 5 months
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