Summary
Bardiya Akhbari is a Sr. Applied Scientist in Boston with nine years of experience building production-grade search, retrieval, and LLM evaluation systems. At Amazon he led ranking and retrieval for the foundation model team and spearheaded core components of the Selling Assistant, deploying benchmarking and agent evaluation pipelines that helped scale the product to 50K+ sellers and achieved 95%+ recall on agent discovery. He brings a rare blend of academic rigor—co-authoring a NeurIPS 2024 paper and 25+ peer-reviewed publications—with product-focused delivery, including real-time models that cut training time by 67%. A proven cross-org leader and mentor, Bardiya also serves on Brown’s Alumni Board and has served as area chair and reviewer for top conferences, signaling strong community impact beyond engineering. Notably, his background spans bioengineering PhD research to large-scale ML systems, reflecting deep interdisciplinary problem-solving.
8 years of coding experience
5 years of employment as a software developer
University of Kansas
Doctor of Philosophy (Ph.D.), Bioengineering and Biomedical Engineering, Doctor of Philosophy (Ph.D.), Bioengineering and Biomedical Engineering at Brown University
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Sharif University of Technology
English