Kapil Thadani is a Senior Research Scientist in New York with 11 years of experience building machine learning systems for understanding, organizing, and generating natural language. At Yahoo he has led work on personalized ranking, unbiased deep RL ranking, multilingual entity linking, and automated video-story generation from news, turning research prototypes into production-facing features. He holds a Ph.D. from Columbia, where he also taught graduate courses on deep learning and contributed to long-running government- and industry-funded language understanding projects. His expertise spans structured prediction, summarization, and importance-weighted active learning, and he combines classical NLP and deep architectures to solve real-world content and personalization challenges. An often overlooked strength is his track record of integrating research into large-scale media products, bridging academic rigor with practical deployment.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Columbia University in the City of New York
Contributions:7 commits, 4 pushes, 1 branch in 4 years 1 month
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Kapil Thadani - Senior Research Scientist at Yahoo