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Bio

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Kesavsundar Gopalakrishnan is a seasoned software engineer with expertise in multiple programming languages, including C, C++, Java, and Python. He has 8+ years of experience in developing algorithms, machine learning models, and video understanding platforms at Amazon. Kesavsundar holds a Master's degree in Computer Science from Northeastern University and a Bachelor of Technology degree in Computer Science from Amrita School Of Engineering.

Experience

    • Senior Software Development Engineer
      • Aug 2021 - Present

      Working on Prime Video leading Video understanding platform with novel compliance and classification algorithms. Our mission is to ensure that Prime Video provides content that customers love and trust in over 240 countries and territories worldwide. We achieve this at scale through the use of video understanding technologies, advanced computer vision, natural language processing and understanding, speech processing, deep learning and machine learning algorithms.

    • Software Development Engineer
      • Jan 2016 - Jul 2021

      Currently working on building reinforcement learning systems to solve econometric problems in search and advertising domains.Worked on the Featured Merchant Algorithm (FMA) team, as part of the larger Machine Learning- Seller Services department. This team owns the decision of which seller to feature in the Buy Box on Amazon's item detail page. The goal is to provide the best customer experience by featuring the most competitive offer.My work across different domains include collaborating with Economists, Applied Scientists, Software Engineers, and Product Managers working on innovative disruptive technologies.

  • Northeastern University
    • Greater Boston Area
    • Graduate Teaching Assistant
      • Sep 2015 - Dec 2015
      • Greater Boston Area

      Assisting Prof. Mitchell Wand in the Program Design Paradigms course.

  • Amazon
    • Greater Seattle Area
    • SDE Intern
      • Jan 2015 - Jul 2015
      • Greater Seattle Area

      Working on the Featured Merchant Algorithm (FMA) team, as part of the larger Machine Learning- Seller Services department. Our team owns the decision of which seller to feature in the Buy Box on Amazon's item detail page.

  • Northeastern University
    • Greater Boston Area
    • Graduate Teaching Assistant - CS 5010
      • Sep 2014 - Dec 2014
      • Greater Boston Area

      Assisting Prof. Mitchell Wand in the Program Design Paradigms course.

  • Nok Nok Labs
    • Palo Alto, California
    • Software Engineer Intern
      • May 2014 - Aug 2014
      • Palo Alto, California

      Nok Nok Labs has built the industry’s first fully capable authentication suite based on the FIDO™ (Fast IDentity Online) authentication protocols. During my internship, I worked on1) Developing iOS app to illustrate the use of SDK which uses FIDO (Fast Identity Online) technology.2) Devising a feature to provide seamless authentication from a secondary device with Handoff technique.

  • Northeastern University
    • Greater Boston Area
    • Graduate Teaching Assistant - CS5800
      • Jan 2014 - Apr 2014
      • Greater Boston Area

      Assisting Prof. Kenneth P. Baclawski, in the graduate Algorithms course.

Education

  • Northeastern University
    Master's degree, Computer Science
  • Amrita School Of Engineering
    Bachelor of Technology (B.Tech.), Computer Science

Suggested Services

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Industry Focus. “Computer Software”

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