Avik Ray is a Senior Applied Scientist at Amazon AGI with over a decade of experience building production-grade NLP and ML systems, from core agentic capabilities in Amazon Nova LLMs to multilingual conversational NLU for Alexa. He holds a Ph.D. in ECE from UT Austin and has bridged theory and practice throughout his career—publishing 20+ papers and filing 10 US patents while deploying NLU models across Samsung products. His background spans deep learning, model compression, in-context learning, and scalable graph and latent-variable algorithms developed during his doctorate, giving him a rare blend of theoretical rigor and product-focused engineering. Based in Mountain View, he’s known for shipping large-scale conversational systems and for practical innovations in model generalization and out-of-domain detection that improve real-world assistant performance.
10 years of coding experience
15 years of employment as a software developer
ME, Telecommunication, ME, Telecommunication at Indian Institute of Science (IISc)
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at The University of Texas at Austin
BE, Electronics and Telecommunication, BE, Electronics and Telecommunication at Jadavpur University
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