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    NGUYEN BACH

    Microsoft GenAI

    NGUYEN BACH is a skilled professional with years of experience in statistical natural language processing and machine learning, specializing in machine translation, speech recognition, speaker identification, and language processing.

    NGUYEN BACH holds a PhD in Computer Science from Carnegie Mellon University and a Master's degree in Computer Science from The Johns Hopkins University.

    With a strong educational background, NGUYEN BACH has held prominent positions in various organizations, including Microsoft, Alibaba Group, Textio, SDL plc, and IBM, where he has contributed to the advancements in AI, data, and language processing.

    Having served as a Principal Engineer at Microsoft in AI-related roles, NGUYEN BACH has expertise in designing efficient algorithms for statistical models trained with real-world data, capable of solving complex problems in machine translation, summarization, parsing, and more.

    NGUYEN BACH's specialties include machine translation, speech recognition, speaker identification, natural language processing, machine learning, and language modeling, making him a valuable asset in the field of AI and data science.

    NGUYEN BACH
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    Location

    Redmond, Washington, United States