Geetha Aluri is a highly experienced professional in the field of applied science and machine learning, currently serving as a Senior Applied Scientist at Amazon since September 2020. In this role, Geetha has developed and deployed advanced workflows for Playlist Search and Podcast Search, as well as automated machine learning techniques for product equivalent identification. Prior experience includes a position as a Staff Machine Learning Engineer at Walmart Labs, where Geetha led projects in the Trust & Safety initiative and developed a deep learning-based ammunition detection model. Geetha also served as a Staff Product Engineer at Lumentum, focusing on new product introduction and yield improvement, as well as a Principal Device Engineer and Sr. Device Characterization Engineer at GLOBALFOUNDRIES, contributing to technology development and complex electrical measurements. Geetha began a career as a Guest Researcher at NIST, specializing in chemical/gas sensing. Geetha holds a Ph.D. in Electrical and Computer Engineering from George Mason University and a Bachelor's degree in Electrical and Electronics Engineering from GITAM University.
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