Sambhav Sharma

Sambhav Sharma

Amsterdam, Noord-Holland, Nederland
Meer dan 500 connecties

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Info

The best code in the world is the code that's already written! You should probably spend more time in building new things rather than reinventing the wheel.
If you have to remember code, then you are doing it the wrong way.

Activiteit

Ervaring

  • Booking.com grafisch

    Booking.com

    Amsterdam, North Holland, Netherlands

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    Amsterdam, North Holland, Netherlands

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    Amsterdam Area, Netherlands

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    Noida Area, India

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    Noida Area, India

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    Gurgaon, India

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    Mumbai Area, India

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    New Delhi Area, India

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    New Delhi Area, India

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    Bengaluru Area, India

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    Bengaluru Area, India

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    Ghaziabad, Uttar Pradesh, India

Opleiding

  • grafisch

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Licenties en certificaten

Ervaring als vrijwilliger

  • Volunteer

    Turn Your Concern Into Action

    - 3 jaar 7 maanden

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Publicaties

  • Crypto-Precision: Testing Tool for Hash Function

    Springer

    In this paper, we present a new generic cryptographic hash function testing tool called Crypto-Precision. It is designed to be adaptable to various Cryptographic Hash Function algorithms and different hash function constructions. We have tested three hash functions; SHA-1, FORK-256 and NewFORK-256.The current version of the tool dynamically generates code for a Hash Function and then tests that Hash Function on the basis of its speed, collision resistance and randomness.

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Cursussen

  • Bitcoin and Cryptocurrency Technologies, Princeton University, Coursera

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Projecten

  • Distributed CoreNlp

    This is a parallel and distributed implementation of StanfordCore NLP. It uses HazelCast for distributed computing. It reads articles from a json file(array of articles in JSON format) and performs StanfordCoreNLP annotations on it, and gives a log output with number of Named Entities in the article, an array of all the NERs in the article and time taken to process that article, in terms of start time and end time. Following is a sample output:

    " Article ID : 1, Start Time :…

    This is a parallel and distributed implementation of StanfordCore NLP. It uses HazelCast for distributed computing. It reads articles from a json file(array of articles in JSON format) and performs StanfordCoreNLP annotations on it, and gives a log output with number of Named Entities in the article, an array of all the NERs in the article and time taken to process that article, in terms of start time and end time. Following is a sample output:

    " Article ID : 1, Start Time : 03:46:10.530, End Time : 03:46:25.419, ThreadID : 32, Number of NERs = 2, NER : [2008, Bitcoin Foundation]"

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