Alexandria Barghi is a Senior Software Engineer in San Diego with 11 years of experience applying data science, machine learning, graph analytics, and high-performance computing to real-world problems. Currently supporting NVIDIA’s cuGraph project, she brings deep expertise across the full data lifecycle—from large-scale ingestion and feature engineering to production ML and graph-based insight. Her background includes building telematics risk models at GEICO on Azure, leading development of the Socrates Graph Analytics Engine at Johns Hopkins APL, and research on time-varying networks and HPC at Noblis. She holds BS, MS, and PhD degrees in Computer Engineering from the University of Maryland, combining rigorous academic training with hands-on systems and production delivery. Colleagues rely on her for cross-domain problem solving that blends algorithmic innovation with scalable engineering.
11 years of coding experience
7 years of employment as a software developer
The University of Maryland, College Park
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at University of Maryland
Thomas Jefferson High School for Science and Technology
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Alexandria Barghi - Senior Software Engineer at NVIDIA