Jeff Robertson is a software engineer and machine learning specialist with six years of industry experience, currently applying deep learning and computer vision expertise at Waymo. He previously led core ML efforts at Impira, combining CV and NLP to build document AI solutions informed by the latest research. Jeff holds a PhD in plasma physics from UCLA, where he developed novel statistical and numerical methods for noisy experimental data—skills he now leverages to design robust ML pipelines and diagnostics. His portfolio includes real-time sign-language translation using 3D ConvNets and large-scale data collection/augmentation, and he shares projects on GitHub (deepsign) that reflect practical, production-minded experimentation. Based in Los Angeles, he blends rigorous academic training with hands-on deployment experience across startups and research labs, often bridging gaps between cutting-edge models and real-world data constraints.
6 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Plasma and High-Temperature Physics, Doctor of Philosophy - PhD, Plasma and High-Temperature Physics at University of California, Los Angeles
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Loyola Marymount University
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