Zayd Hammoudeh
Sr. NLP AI Applied Scientist at Qualtrics
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolZayd Hammoudeh is a Staff Applied Scientist in Seattle with 11 years of experience bridging rigorous ML research and product-focused applied science. He designs general-purpose techniques for robust, trustworthy, and interpretable ML across images, text, speech, and tabular data, with a particular emphasis on provable robustness to training outliers and feature corruption. Zayd is also a specialist in training data attribution, applying robust-statistics principles (including semi-supervised settings) to explain model behavior and pinpoint influential training instances. His career spans academia (PhD in Computer Science) and industry roles advancing ML in production at Qualtrics, underpinned by earlier engineering work in wireless power and test systems. Colleagues describe him as a pragmatic researcher who brings theoretical guarantees into deployable systems—and, notably, he’s a devoted cat enthusiast.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at University of OregonSan José State UniversityMaster's, Computer Engineering, Master's, Computer Engineering at Drexel UniversityUniversity of California Santa Cruz
Stackoverflow
659reputation
88kreached
14answers
10questions
Github Skills (151)
python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
tensor10
tensorflow10
autograd10
shift10
machine-learning10
statistics9
sampler9
latex9
Programming languages (10)
Github contributions (5)
ZaydH/arbitrary_pu
Feb 2020 - Nov 2021
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
Contributions:7 commits, 1 PR, 17 pushes in 1 year 9 months
pytorchshiftneurips-2020positive-unlabeled-learningdeep-learning
ZaydH/dotfiles
Jan 2019 - Nov 2024
Contributions:456 pushes, 1 branch in 5 years 11 months
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