Adam Kraft
Research Engineer at Google DeepMind
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAdam Kraft is a Research Engineer based in the San Francisco Bay Area with a decade of experience building large-scale machine learning and computer vision systems for products at Google DeepMind, Orbital Insight, and Amazon’s A9. He specializes in personalization for LLMs and large recommendation models, as well as data- and model-efficiency for production AI across Gemini, Ads, Search, Play, and Cloud. Earlier work focused on satellite imagery at scale—turning millions of images into economic and environmental signals—and on camera-based product search and image understanding for consumer apps. Comfortable spanning research and applied engineering, he has repeatedly taken R&D projects from prototype to production in small teams and large organizations. His background in both academic CS and hands-on product work gives him a practical knack for making complex ML systems efficient, scalable, and impactful.
10 years of coding experience
8 years of employment as a software developer
MS, Computer Science, MS, Computer Science at Washington University in St. Louis
Github Skills (11)
heatmap10
contrast10
affine-transformation9
image-augmentation9
polygon9
machine-learning8
image-processing8
computer-vision7
deep-learning7
caffe5
pytorch4
Programming languages (4)
Github contributions (5)
adamwkraft/vimrc
Jan 2016 - Jul 2019
Contributions:22 pushes, 1 branch in 3 years 6 months
orbitalinsight/region-aggregation-public
Oct 2018 - Mar 2019
Contributions:4 commits, 2 PRs, 18 pushes in 5 months
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