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Kranti Parisa

Kranti ParisaKranti Parisa has more than a decade of software development expertise and a deep understanding of open source, enterprise software, and the execution required to build successful products. He has fallen in love with enterprise search technologies, epecially Lucene and Solr, after his initial implementations and customizations carried out in early 2008 to build a legal search engine for bankruptcy court documents, docket entries, and cases. He is an active contributor to the Apache Solr community. One of his recent contributions, along with Joel Bernstein, SOLR-4787, includes scalable and nested join implementations. Kranti is currently working at Apple. Prior to that, he worked as a lead engineer and search architect at Comcast Labs, building and supporting a highly scalable search and discovery engine for the X1/X2 platformthe world's first entertainment operating system. An entrepreneur by DNA, he is the cofounder and technical advisor of multiple start-ups focusing on cloud computing, SaaS, big data, and enterprise search based products and services. He holds a master's degree in computer integrated manufacturing from the National Institute of Technology, Warangal, India. You can reach him on LinkedIn: http://www.linkedin.com/in/krantiparisa. Read More Read Less

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  • 35% OFFInternational
    Reliable Machine Learning

    Reliable Machine Learning

    Kranti Parisa
    No Review Yet
    Paperback
  • 40% OFF
    Apache Solr Enterprise Search Server

    Apache Solr Enterprise Se ...

    Eric Pugh
    No Review Yet
    Paperback
  • Reliable Machine Learning

    Reliable Machine Learning

    Kranti Parisa
    No Review Yet
    Out of Stock
  • Reliable Machine Learning

    Reliable Machine Learning

    Kranti Parisa
    No Review Yet
    Out of Stock
  • Reliable Machine Learning

    Reliable Machine Learning

    Kranti Parisa
    No Review Yet
    Out of Stock
  • Apache Solr Enterprise Search Server

    Apache Solr Enterprise Se ...

    Eric Pugh
    No Review Yet
    Out of Stock
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