With over eight years of work experience in applied science and machine learning, I am a passionate and innovative leader who strives to create impactful solutions for complex problems. My field of expertise is large-scale multi-modal multi-task multi-lingual multi-entity multi-locale models (LLM) that serve various domains and applications. I am currently an Applied Science Manager in Search at Amazon, where I lead a team to build LLM for the e-commerce and revamp customer shopping experiences.In my previous role as the Applied Science Manager of Core Modeling at Search M5 at Amazon, I managed the M5 Core Modeling team, which built super large models that served the entire company. I was responsible for setting the vision, strategy, and roadmap for the team, as well as overseeing the research, development, and deployment of the models. I also collaborated with multiple stakeholders across different teams and organizations, such as Alexa, AWS, and Prime Video, to understand their needs and provide them with customized solutions. Some of the skills that I used and developed in this role include large model, search, tech leadership, Python, and deep learning.