Hamed Bonab
Senior Applied Scientist at Amazon
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolHamed Bonab is a Senior Applied Scientist at Amazon with nine years of experience designing and deploying large-scale AI systems, currently leading long-context modeling and agentic workflow efforts for the Rufus Shopping Assistant within Stores Foundational AI. He holds a PhD in Artificial Intelligence from UMass Amherst and has end-to-end expertise across the LLM lifecycle, particularly in pre- and mid-training, long-form reasoning, and multi-turn dialogue. Hamed has driven production neural semantic matching for global search relevance and scalability, blending deep research experience from academic and industry internships (Spotify, Dataminr) with product-focused delivery. Based in Seattle, he brings a research-first mindset to applied problems, often translating novel long-context techniques into production-ready data and modeling recipes.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Bilkent UniversityDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Massachusetts AmherstBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Iran University of Science and Technology
English, Turkish, Azerbaijani, PersianGithub contributions (5)
hamedrab/wsdm22_cup_xmrec
Oct 2021 - Oct 2021
Contributions:12 commits, 8 pushes, 1 branch in 25 days
hamedrab/FOREC
Nov 2021 - Nov 2021
Contributions:12 commits, 8 pushes, 1 branch in 1 day
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