Krishna Sankar

Krishna Sankar

San Francisco Bay Area
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About

A Technologist with broader experience in AI, Data Science, Security and Networks…

Articles by Krishna

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Activity

Experience

  • U.S. Bank Graphic

    U.S. Bank

    San Francisco Bay Area

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    San Francisco Bay Area

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    San Francisco Bay Area

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    San Francisco Bay Area

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    San Francisco Bay Area

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    Mountainview, CA

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    Silicon Valley

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    Silicon Valley

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    San Jose, CA

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    San Francisco Bay Area

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    Los Altos

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    Mountain View

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Education

  • Stanford University Graphic

    Stanford University

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    Completed xCS224N - NLP w/ Deep learning. Interesting models that took > 8hrs to train in Azure GPU instance.
    On to NLU (xCS224u) with a project - starting in 2020 !

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    STATS202, STATS290[R taught by Prof. John Chambers & Prof. Balasubramanian Narasimhan. Project DeepLearnR https://github.com/xsankar/deepLearnR (Interface to TensorFlow Deep learning Framework from R )], STATS191

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    Developed cutting-edge Deep Reinforcement Learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG) and applied these concepts to train agents to various tasks in OpenAI and Unity frameworks.

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    Part of pioneer SCND batch

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Licenses & Certifications

Volunteer Experience

  • Robotics Design Judge - World Featival

    First Lego League

    - Present 18 years 2 months

    Education

    Technical Judge, First Lego league Robotics World Festival: Atlanta[2007, 2008, 2010],St.Louis[2013, 2014, 2015, 2016], Houston[2017]

  • Mentor

    Google Summer Of Code

    - Present 7 years 8 months

    Science and Technology

Publications

  • The Applied AI and Natural Language Processing Workshop

    Packt

    See publication

  • Fast Data Processing With Spark 2

    Packt

    Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects.

    See publication

  • Fast Data Processing with Spark - Second Edition

    Packt

    See publication

  • Enterprise Web 2.0 Fundamentals

    Cisco Press

    This is a comprehensive, candid introduction to Web 2.0 for every executive, strategist, technical professional, and marketer who needs to understand its implications. The authors illuminate the technologies that make Web 2.0 concepts accessible and systematically identify the business and technical best practices needed to make the most of it. You’ll gain a clear understanding of what’s really new about Web 2.0 and what isn’t. Most important, you’ll learn how Web 2.0 can help you enhance…

    This is a comprehensive, candid introduction to Web 2.0 for every executive, strategist, technical professional, and marketer who needs to understand its implications. The authors illuminate the technologies that make Web 2.0 concepts accessible and systematically identify the business and technical best practices needed to make the most of it. You’ll gain a clear understanding of what’s really new about Web 2.0 and what isn’t. Most important, you’ll learn how Web 2.0 can help you enhance collaboration, decision-making, productivity, innovation, and your key enterprise initiatives.

    Other authors
    See publication

  • Cisco Wireless LAN Security

    Cisco Press

    See publication

  • Adaptive Services Framework (IBM/Cisco - 2003)

    This document describes a framework for a set of common interfaces for remote service and support systems. It motivates the need for an adaptive services framework in the autonomic world, proposes a set of potential interface specifications, and describes how these specifications achieve the desired result.

    Other authors
    See publication

  • Java 1.2 Class Libraries Unleashed

    Que

    See publication

Patents

  • System and method of implementing an object storage infrastructure for cloud-based services

    Issued US US 13/708,040

    A method for storing objects in an object storage system includes the steps of establishing a network connection with a client over an inter-network, receiving an upload request indicating an object to be uploaded by the client, selecting at least two storage nodes on which the object will be stored, receiving the object from the client via the network connection, and streaming the object to each of the selected storage nodes such that the object is stored on each of the selected storage nodes.…

    A method for storing objects in an object storage system includes the steps of establishing a network connection with a client over an inter-network, receiving an upload request indicating an object to be uploaded by the client, selecting at least two storage nodes on which the object will be stored, receiving the object from the client via the network connection, and streaming the object to each of the selected storage nodes such that the object is stored on each of the selected storage nodes. The method can also include writing an object record associating the object and the selected storage nodes to a shard of an object database and generating a Universally Unique Identifier (UUID). The UUID indicates the shard and the object ID of the object record, such that the object record can be quickly retrieved. Object storage infrastructures are also disclosed.

    See patent

  • Processing structured electronic document streams using look-ahead automata

    Issued US 7941417

    Other inventors

  • PROCESSING STRUCTURED ELECTRONIC DOCUMENT STREAMS USING LOOK-AHEAD AUTOMATA Read more: http://www.faqs.org/patents/app/20090177669#ixzz1bcndLr5z

    Issued US 20090177669

    See patent

  • Network router configured for executing network operations based on parsing XML tags in a received XML document

    Issued US 7689907

    See patent

Honors & Awards

  • IEEE Sr.Member

    IEEE

    Elevated to Sr.Member

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