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Lohitaksh Yogi is a Technical Principal Product Manager in Machine Learning with expertise in AI-driven search and recommendation systems. He holds a master’s in computer science (Machine Learning) from UNC Charlotte and a Product Management from Stanford University. His work focuses on large-scale AI applications, deep learning, and retrieval-augmented generation (RAG) for search and personalization. His research interests include semantic search, explainable AI, and fairness in recommender systems.

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Searc Recommendation ML Techniques Applications
Machine Learning

Search and Recommendation Engines: Machine Learning Techniques, Industry Applications, and Advancements

Search engines and recommendation engines are systems that help users find information and discover items of interest in large data spaces. A search...