Saar Kuzi
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSaar Kuzi is an applied scientist and Ph.D. candidate in Computer Science at UIUC with eight years of experience bridging research and production in information retrieval, NLP, and machine learning. He has led and shipped research-driven features for conversational AI at Amazon, contributing to Rufus and Alexa Shopping, and authored over ten papers across web, email, news, research, and education domains. His academic work includes industry-collaborative projects (IBM) on user-interaction optimization, knowledge-graph decision support, and robust ranking algorithms, plus practical systems for exploring research figures and auto-grading assignments. Saar’s background spans top research internships at Google and IBM and hands-on experience with large-scale experiments and TensorFlow implementations, reflecting both theoretical depth and production engineering chops. Based in Seattle, he mixes rigorous PhD research instincts with product-focused delivery, often translating complex models into impactful features. An interesting thread through his career is repeated emphasis on making search and ranking systems more robust and user-aware across diverse real-world settings.
8 years of coding experience
5 years of employment as a software developer
Master’s Degree Information Systems, Master’s Degree Information Systems at Technion - Israel Institute of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-Champaign
English, Spanish, Hebrew
Github Skills (2)
nlp2
natural-language-processing1
Programming languages (1)
Github contributions (5)
saarku/academic-review
Nov 2020 - Sep 2021
Contributions:785 pushes, 1 branch in 10 months
saarku/fig-explorer
May 2020 - Jul 2020
Contributions:37 commits, 48 pushes, 1 branch in 2 months
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