Natalia Dibbern is a Senior Software Engineer in Seattle with nine years of experience building scalable systems across cloud and ad-tech at Google, Amazon, and IBM. She brings a strong foundation in applied mathematics and machine learning, having led research on privacy-preserving ad matching and novel graph-clustering algorithms during her university and early-career work. At Google she progressed from Software Engineer to Senior Software Engineer, delivering production services that intersect large-scale infrastructure and developer experience. Known for translating complex research into practical products, she also has hands-on experience running developer studies, documentation and QA to smooth cloud adoption for Go developers. Colleagues describe her as a thoughtful engineer who pairs rigorous technical rigor with attention to usability and privacy.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Loyola Marymount University
Contributions:34 pushes, 2 branches in 2 years 5 months
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