Sudershan Sridhar

Research Assistant at Globus.org
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Contact Information
us****@****om
(386) 825-5501
Location
Chicago, Illinois, United States, US
Languages
  • Tamil Native or bilingual proficiency
  • Hindi Professional working proficiency
  • English Full professional proficiency

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Credentials

  • Convolutional Neural Networks
    Coursera
    May, 2021
    - Oct, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Apr, 2021
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Apr, 2021
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Apr, 2021
    - Oct, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Research Assistant
      • Jun 2023 - Present
    • United States
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Mar 2023 - Jun 2023

      Teaching Assistant for Cloud Computing course Teaching Assistant for Cloud Computing course

    • United States
    • Higher Education
    • 100 - 200 Employee
    • Research Assistant
      • Sep 2022 - Jun 2023

      1. Responsible for developing an energy e-commerce web application that monitors user interactions across different UIs administered through A/B testing. The captured mouse movements and navigation patterns are passed to a backend microservice to analyze behaviors. 2. Building a full stack application using ReactJs, NodeJs, and MongoDB for the website and Ruby on Rails for the admin panel. Set the vision to develop machine learning models to interpret the data. 1. Responsible for developing an energy e-commerce web application that monitors user interactions across different UIs administered through A/B testing. The captured mouse movements and navigation patterns are passed to a backend microservice to analyze behaviors. 2. Building a full stack application using ReactJs, NodeJs, and MongoDB for the website and Ruby on Rails for the admin panel. Set the vision to develop machine learning models to interpret the data.

    • Internet Publishing
    • 100 - 200 Employee
    • Back End Developer
      • Jun 2021 - Jun 2022

      Responsible for building decentralized applications (dApp) for several use cases like the Non-Fungible Token (NFT) marketplace (beyondlife.club) and the world’s first metaverse cricket platform (jump.trade) Responsible for building decentralized applications (dApp) for several use cases like the Non-Fungible Token (NFT) marketplace (beyondlife.club) and the world’s first metaverse cricket platform (jump.trade)

    • India
    • Non-profit Organizations
    • 1 - 100 Employee
    • Public Relations Manager
      • Jun 2020 - May 2021

      Served as the PR Manager for 30 clubs (Division A of District 120) across the state of Tamil Nadu, India. Served as the PR Manager for 30 clubs (Division A of District 120) across the state of Tamil Nadu, India.

    • India
    • Education Administration Programs
    • 700 & Above Employee
    • Student Researcher
      • Feb 2021 - Apr 2021

      Developed a voice recognition model utilizing computer vision that comprehends sentences using visual cues. Researched meticulously and delivered enhancement to the preprocessing pipeline using BlazeFace and Silence detection model for better face detection and video segmentation. Accuracy bumped up by 20% more than similar models. Work pending submission to CRC Press. Developed a voice recognition model utilizing computer vision that comprehends sentences using visual cues. Researched meticulously and delivered enhancement to the preprocessing pipeline using BlazeFace and Silence detection model for better face detection and video segmentation. Accuracy bumped up by 20% more than similar models. Work pending submission to CRC Press.

    • Student Researcher
      • Aug 2020 - Sep 2020

      Proposed and implemented a new encoding system for multilingual databases/corpora that reduced the corpus storage size by 14% and managed to decode with 95% accuracy. The space required for corpus storage is reduced by training the algorithm to encode batches of alphabets from multiple languages with the same character code. Consecutively, the algorithm learns to decode the characters with the help of language metadata. Proposed and implemented a new encoding system for multilingual databases/corpora that reduced the corpus storage size by 14% and managed to decode with 95% accuracy. The space required for corpus storage is reduced by training the algorithm to encode batches of alphabets from multiple languages with the same character code. Consecutively, the algorithm learns to decode the characters with the help of language metadata.

Education

  • University of Chicago
    Masters, Computer Science
    2022 - 2023
  • Vellore Institute of Technology
    Bachelor's degree, Computer Science
    2017 - 2021

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