Aaron Gussman is a Principal Architect at Google with 11 years of experience designing cloud-native, AI/ML, and geospatial systems for national security and public sector customers. He has advanced from hands-on bioinformatics and high-throughput data systems to leading solutions that combine Earth observation, computer vision, and large-scale ML pipelines across sales, product, and engineering. Known for bridging technical depth with customer impact, he drove a 299% quota achievement and created the RAD Lab sales approach while delivering bespoke GenAI and geospatial solutions. His background includes architecting multi-terabyte ML platforms, productionizing RetinaNet-based object detection, and building scalable ingestion and deployment pipelines in Python and cloud environments. Based in Great Falls, VA, he blends research-rooted systems engineering (MS, UVA) with practical DevOps and platform leadership across startups and Fortune-scale teams. A less obvious strength is his track record of converting complex scientific data workflows into secure, compliance-ready cloud solutions that win federal contracts.
11 years of coding experience
12 years of employment as a software developer
Lafayette High School
MS Systems and Information Engineering, MS Systems and Information Engineering at University of Virginia
Core set of software classes and ontological relationships for representing common datatypes in a graph database
Contributions:67 commits, 3 PRs, 55 pushes in 2 years 7 months
jsonldmemgraphnested-objectsdatabasedatatypes
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