Summary
Tarun Narayanan is a Machine Learning Engineer with nine years of experience building production-grade ML systems that span e-commerce, satellite imagery, disaster response, and intelligent document processing. He has delivered measurable impact—accelerating flood map generation from one week to under two days at NASA FDL, speeding data pipelines 7x in production at Mad Street Den, and publishing work on large-scale satellite inference at NeurIPS. A recipient of the NASA IMPACT Exceptional Contributor and IET E&T Innovation awards, Tarun blends research rigor from labs like AI2, A*STAR, and IIT Madras with hands-on deployment experience at companies including Amazon and Reliance Jio. He also founded CodeFemme to help women enter STEM and actively presents technical work at venues such as NVIDIA GTC and UC Berkeley. Currently based in Seattle for graduate study while consulting in Generative AI, he maintains open-source projects under spaceml-org and focuses on bringing core research into scalable products.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Master of Science - MS at University of Washington
Anna University, Chennai
Class 12 Computer Science, Class 12 Computer Science at DAV Higher Secondary School. Gopalapuram
High school, High school at Bhavan's Rajaji Vidyashram
Tamil, English