Kunal Sonalkar
Data Scientist at Nordstrom
Kunal Sonalkar is a data scientist at Nordstrom with over seven years of experience specializing in retail data science. His work primarily focuses on search retrieval, recommendation systems, and merchandising. He applies advanced machine learning and deep learning techniques to improve product discovery, enhance customer experience, and optimize merchandising strategies. Throughout his career, he has developed and refined search and recommendation algorithms that drive better user engagement and business outcomes, leveraging multimodal data and scalable AI models to meet the dynamic needs of the retail industry.
Sessions
Elevating Search Relevance with SigLIP: The Power of Multimodal Retrieval
Explore how SigLIP, a cutting-edge multimodal model, revolutionizes search by unifying image and text data. Learn how leveraging joint vision-language understanding leads to smarter, more accurate, and context-aware search experiences, product attribution, surpassing traditional text-only methods for real-world applications.