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    Debasish Das

    Director, Machine Learning

    Debasish Das is the Director of Machine Learning at Credit Karma, a position he has held since joining the company in 2018. He leads the development of the company's machine learning platform, known as Vega, which focuses on scalable feature engineering and the deployment of machine learning workflows for financial recommendations and fraud prevention.13

    Educational Background

    • PhD in Electrical Engineering and Computer Science from Northwestern University (2004-2009).
    • BTech in Computer Science from the Indian Institute of Technology (IIT) Kharagpur.

    Professional Experience

    Before his tenure at Credit Karma, Das worked at several prominent tech companies, including:

    • Verizon
    • Intel
    • Synopsys
    • Magma Design Automation
    • Mentor Graphics

    His expertise lies in machine learning algorithms, prediction serving, and optimization, with contributions to open-source projects like TensorFlow and Apache Spark.12

    Current Focus

    At Credit Karma, Das is instrumental in building interactive and production model-building workflows that serve personalized financial products to users. His work involves leveraging technologies such as Google BigQuery, Apache Beam, and TensorFlow to enhance machine learning engineering efficiency.13

    Related Questions

    What are Debasish Das's main responsibilities at Credit Karma?
    How has Debasish Das contributed to Credit Karma's machine learning platform?
    What projects has Debasish Das worked on at Credit Karma?
    What is the Vega platform that Debasish Das leads at Credit Karma?
    What are Debasish Das's educational qualifications?
    Debasish Das
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    Location

    Fremont, California, United States