Ujwal Narayan

Ujwal Narayan is a Data Scientist at Anoki, where he works on machine learning and natural language processing systems that help power contextual video intelligence for Connected TV. His work focuses on applying NLP, multimodal AI, and large-scale machine learning to better understand content, enabling advertisers and publishers to align advertising with the meaning and narrative context of what viewers are watching.

At Anoki, Ujwal contributes to the development of AI models that analyze and interpret video content, supporting scene-level contextual understanding that improves brand suitability and ad relevance across streaming environments.

Prior to joining Anoki, Ujwal worked as a machine learning engineer and ML lead at LimeChat, where he built large-scale AI systems, including agentic LLM chatbots and automated content generation pipelines serving tens of millions of requests per month. His work improved conversational accuracy, search relevance, and conversion outcomes for global ecommerce brands. Earlier, he worked as a data scientist at Klevu, where he developed multilingual search technologies and NLP systems that expanded product discovery across new international markets.

Ujwal holds a Bachelor’s degree in Computer Science along with a Master’s by Research in Computational Linguistics from the International Institute of Information Technology (IIIT) Hyderabad. His academic work has focused on narrative understanding and NLP, with publications in leading AI and web research conferences.

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