Abdulla Mohamed is a Senior Product Data Scientist at Google Lens with nine years of experience applying machine learning and analytics to product and operational problems. He brings a rare blend of domain expertise from ocean and coastal engineering—where he led hydrodynamic modeling and metocean extreme-value analysis—to data science work that spans forecasting, classification, and production ML pipelines. At Nordstrom he shipped models that saved millions annually and scaled to millions of rows using Kubernetes and Airflow; his background in numerical modeling and MATLAB informs a rigorous, physics-aware approach to data. Based in Seattle, Abdulla excels at turning complex, noisy datasets into actionable product decisions and reliable, low-latency production systems. He is equally comfortable prototyping statistical solutions and optimizing their runtime for large-scale deployment.
9 years of coding experience
17 years of employment as a software developer
Bachelor of Science (B.S.), Ocean Engineering, Bachelor of Science (B.S.), Ocean Engineering at United States Naval Academy
Master of Science (M.S.) Ocean Engineering, Ocean Engineering, Master of Science (M.S.) Ocean Engineering, Ocean Engineering at University of Hawaii at Manoa
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