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Achievements

Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Pull Sharkx2

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debajyotid2/README.md

Hi there 👋

Welcome to my profile!

I am currently working as a machine learning engineer at Siemens, where I work on developing machine learning and simulation-based solutions to build digital twins for battery manufacturing.

I love working on interdisciplinary projects, especially using C, C++, Python or Rust.

I occasionally contribute to open-source projects, for instance, Home Energy Analysis Tool, but I also work on-and-off on personal projects (mostly recreational), like One billion row challenge and Cryptopals.

How to reach me: LinkedIn

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  1. gradient_descent gradient_descent Public

    Multi-variate linear regression using stochastic gradient descent

    C

  2. cryptopals cryptopals Public

    Cryptopals cryptography challenges solved using Rust lang.

    Rust

  3. matlibr matlibr Public

    A library for representing matrices in C

    C

  4. yatpool yatpool Public

    Yet another thread pool implemented in pure C

    C

  5. codeforboston/home-energy-analysis-tool codeforboston/home-energy-analysis-tool Public

    TypeScript 12 32

  6. carboncopies/BrainGenix-NES carboncopies/BrainGenix-NES Public

    [Mirror of https://gitlab.braingenix.org/carboncopies/] BrainGenix-NES is a cutting-edge simulation platform for whole brain emulation research and development that supports digitally replicating b…

    C++ 15 5