Applied Science Manager
CurrentExperienced manager in the Global Search Quality (GSQ) team at Amazon, focusing on enhancing customer search experiences. Our team is dedicated to making it easy for customers worldwide to find relevant products, no matter how they express their search intent. We achieve this by developing cutting-edge models, systems, and algorithms that interpret complex natural language search queries, and surface the most relevant results from Amazon's vast selection. I am skilled in leading teams of scientists, engineers, and managers to drive data-driven experimentation, performance analysis, and goal setting to achieve business objectives and deliver measurable improvements in search quality and customer satisfaction. Adept at collaborating with cross-functional teams and stakeholders to align priorities and ensure the successful execution of projects. Proven ability to recruit, onboard, and mentor team members, fostering a culture of innovation and high performance. Our team's expertise is demonstrated through our published works:https://www.amazon.science/publications/blend-and-match-distilling-semantic-search-models-with-different-inductive-biases-and-model-architectureshttps://www.amazon.science/publications/pefa-parameter-free-adapters-for-large-scale-embedding-based-retrieval-modelshttps://www.amazon.science/publications/blend-and-match-distilling-semantic-search-models-with-different-inductive-biases-and-model-architectureshttps://www.amazon.science/publications/semantic-product-searchhttps://www.amazon.science/publications/augmenting-training-data-for-massive-semantic-matching-models-in-low-traffic-e-commerce-storeshttps://www.amazon.science/publications/extreme-multi-label-learning-for-semantic-matching-in-product-searchhttps://www.amazon.science/publications/web-scale-semantic-product-search-with-large-language-models