Prasanth Meiyappan is a Senior Applied Scientist at Amazon’s Search Customer Experience team with a decade of experience turning massive, noisy datasets into production-grade insights that improve discovery for 300+ million customers. He combines a PhD in Atmospheric Sciences and a B.Tech in Industrial Engineering with hands-on expertise in statistical modeling, deep learning, natural language understanding, geo-statistics, and A/B-driven experimentation to deliver query- and session-level intent signals at scale. At Amazon he architects high-performance services and rapid iterative analyses over billions of records; before that he bridged climate science and computation—publishing in top journals and running complex FORTRAN/MPI simulations on national supercomputers. Comfortable both as a data scientist and SDET-style engineer, he also builds end-to-end products (e.g., production web apps and deployable ML systems) and is an active tech speaker and open-source enthusiast. Notably, his background in climate modeling gives him a rare quantitative perspective on spatial–temporal problems applied to search and recommendation.
10 years of coding experience
B. Tech, Industrial Engineering, B. Tech, Industrial Engineering at National Institute of Technology, Tiruchirappalli
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Prasanth Meiyappan - Senior Applied Scientist at Amazon