Andrew Stolman is a Technical Lead at Katana Graph, where responsibilities include planning and building a framework for users to train advanced graph neural networks on large-scale, unstructured datasets, along with integrating popular MLOps platforms for comprehensive machine learning pipelines. Previously, Andrew served as a Senior Software Engineer, focusing on deep learning and bioinformatics libraries. Andrew's experience includes research as a Graduate Student Researcher at the University of California, Santa Cruz, and internships at Twitter, where contributions involved developing distributed services for real-time graph feature computation and enhancing recommendation systems. Andrew also interned at Sandia National Laboratories, collaborating on a data mining algorithm and co-authoring a research paper. Andrew holds a Doctor of Philosophy in Computer Science from the University of California, Santa Cruz.
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