Anjan Nepal is a senior software engineer with 13 years of experience, currently improving Amazon’s catalog quality by applying machine learning to detect and remediate perceived duplicate product listings. At Amazon since 2014, he has evolved from SDE to Sr Software Engineer solving real-world search and discovery problems that directly impact customer experience. His background in academic research on domain adaptation and NLP from Temple University informs a data-driven approach to building robust ML pipelines and shared representations. Prior roles in product engineering and research give him a blend of practical systems design and experimental rigor. Based in the Greater Seattle Area, he brings a track record of turning complex ML ideas into production services that reduce noise in large-scale catalogs. An often-overlooked strength is his ability to bridge research insights with operational constraints to deliver measurable improvements at scale.
13 years of coding experience
10 years of employment as a software developer
Master's Degree, Computer and Information Sciences, Master's Degree, Computer and Information Sciences at Temple University
Bachelors Degree, Computer Engineering, Bachelors Degree, Computer Engineering at Tribhuvan University
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