Bahram Nasehi is an accomplished Staff Software Engineer at Google, specializing in Artificial Intelligence (AI) and Machine Learning (ML). With a Ph.D. in Computer Science from the University of California, Irvine, he possesses a strong foundation in research and practical application of advanced algorithms. His work primarily focuses on areas such as Large Language Models (LLMs), Search technologies, and Recommendation Systems. Bahram is passionate about building intelligent systems that solve real-world problems and enhance user experiences. He has a track record of contributing to impactful projects and driving innovation within the tech industry.
Bahram Nasehi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Holds a senior engineering position at Google, contributing to the development and advancement of core AI and Machine Learning technologies, particularly in Search and related product areas.
Earned a doctorate with a research focus likely in areas such as machine learning, data mining, or information retrieval, providing deep theoretical and practical expertise.
Demonstrates significant contributions and expertise in the rapidly evolving field of LLMs and their application in enhancing search algorithms and user interaction.
Likely has contributed to the academic and innovation landscape through research publications, conference presentations, or patents in the field of Artificial Intelligence and Machine Learning.
Involved in designing, building, and deploying machine learning models and systems that operate at scale, impacting millions of users.
University of Pennsylvania - Year 1990
University of Maryland University College - Year 1986
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