Harshit Gupta

Applied Machine Learning Intern at Abacus.AI
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Contact Information
us****@****om
(386) 825-5501
Location
Stanford, US

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Credentials

  • Convolutional Neural Networks
    DeepLearning.AI
    Aug, 2020
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    DeepLearning.AI
    Jul, 2020
    - Nov, 2024
  • Sequence Models
    DeepLearning.AI
    Jul, 2020
    - Nov, 2024
  • Prediction and Control with Function Approximation
    Coursera
    May, 2020
    - Nov, 2024
  • Fundamentals of Reinforcement Learning
    Coursera
    May, 2020
    - Nov, 2024
  • Neural Networks and Deep Learning
    DeepLearning.AI
    May, 2020
    - Nov, 2024
  • Sample-based Learning Methods
    Coursera
    May, 2020
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Applied Machine Learning Intern
      • Jan 2023 - Aug 2023

      - Tinkered on a new model for time series forecasting, pre-trained with carefully synthesized data, and detected intricate patterns in unseen data. Elevated performance beyond SOTA by optimizing training control, and diversifying encoder-decoder configurations, registering a reduction in val-loss from 0.03 to 0.02 - Developed a cutting-edge metric dashboard, streamlining the creation of new tests from existing projects and feature groups, leveraging GitHub workflows for seamless codeless… Show more - Tinkered on a new model for time series forecasting, pre-trained with carefully synthesized data, and detected intricate patterns in unseen data. Elevated performance beyond SOTA by optimizing training control, and diversifying encoder-decoder configurations, registering a reduction in val-loss from 0.03 to 0.02 - Developed a cutting-edge metric dashboard, streamlining the creation of new tests from existing projects and feature groups, leveraging GitHub workflows for seamless codeless execution Show less - Tinkered on a new model for time series forecasting, pre-trained with carefully synthesized data, and detected intricate patterns in unseen data. Elevated performance beyond SOTA by optimizing training control, and diversifying encoder-decoder configurations, registering a reduction in val-loss from 0.03 to 0.02 - Developed a cutting-edge metric dashboard, streamlining the creation of new tests from existing projects and feature groups, leveraging GitHub workflows for seamless codeless… Show more - Tinkered on a new model for time series forecasting, pre-trained with carefully synthesized data, and detected intricate patterns in unseen data. Elevated performance beyond SOTA by optimizing training control, and diversifying encoder-decoder configurations, registering a reduction in val-loss from 0.03 to 0.02 - Developed a cutting-edge metric dashboard, streamlining the creation of new tests from existing projects and feature groups, leveraging GitHub workflows for seamless codeless execution Show less

    • Netherlands
    • Capital Markets
    • 700 & Above Employee
    • Software Engineer Intern
      • May 2022 - Jul 2022

      Augmented the main communication stack with a module to facilitate the use of latest networking middlewares lowering the wire-to-wire latency Augmented the main communication stack with a module to facilitate the use of latest networking middlewares lowering the wire-to-wire latency

    • Singapore
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Financial Software Engineering Intern
      • Nov 2021 - Dec 2021

      Developed a simulation engine for networking stack with tunable traffic and built prototypes for speeding up a computationally heavy component Developed a simulation engine for networking stack with tunable traffic and built prototypes for speeding up a computationally heavy component

    • Applied Cryptography Intern
      • May 2021 - Jul 2021

      Worked on learning the recent advancements and techniques in cryptocurrencies, focusing majorly on Monero. Implemented the MProve+ protocol in the Monero source code repository’s fork, providing a better alternative to prove solvency. (https://github.com/HARSHIT-GUPTA-coder/monero/tree/MProvePlus) Worked on learning the recent advancements and techniques in cryptocurrencies, focusing majorly on Monero. Implemented the MProve+ protocol in the Monero source code repository’s fork, providing a better alternative to prove solvency. (https://github.com/HARSHIT-GUPTA-coder/monero/tree/MProvePlus)

    • Austria
    • Research Services
    • 300 - 400 Employee
    • Research Intern
      • May 2021 - Jul 2021

      Worked under Prof. Krishnendu Chatterjee on Auxiliary information and local changes in Evolutionary Prisoner’s Dilemma Games. Worked under Prof. Krishnendu Chatterjee on Auxiliary information and local changes in Evolutionary Prisoner’s Dilemma Games.

    • Convener
      • Apr 2020 - Mar 2021

      Core team member of a 15 member team, aimed to disseminate practical knowledge among 4500+ students through hobby-technical activities that are generally out of the purview of the routine academics. Core team member of a 15 member team, aimed to disseminate practical knowledge among 4500+ students through hobby-technical activities that are generally out of the purview of the routine academics.

Education

  • Stanford University
    Master's degree, Computer Science
    2023 - 2025
  • Indian Institute of Technology, Bombay
    Bachelor of Technology - BTech, Computer Science
    2019 - 2023
  • Delhi Public School Ghaziabad
    2015 - 2019

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