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  • Globema sp. z o. o.
  • Warsaw
  • 23:46 (UTC +02:00)

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mieszkowskiff/README.md

About me

I am a passionate researcher and developer focused on the intersection of Mathematics, Computer Science, and Artificial Intelligence. My work revolves around finding elegant solutions to complex problems, from spectral graph theory to artificial life simulations.

Education

  • B. Sc. in Mathematics and Data Analysis at Warsaw University of Technology, Faculty of Mathematics and Information Sciences
  • ERASMUS+ Exchange at Johannes Kepler University Linz
  • M. Sc. in Mathematics (In progress) at Warsaw University of Technology, Faculty of Mathematics and Information Sciences

Currently working on

  • Learning triton
  • Artificial life simulation (see repository)
  • Web Dev in C#
  • Cloud Computing on GCP
  • Spectral Graph Theory and Graph Neural Networks (master thesis)

My Tech Stack

Programming languages

GitHub Metrics

Technologies

Python C# C++ C CUDA .NET

PyTorch Torchvision Scikit-Learn Pandas NumPy Apache Spark Milvus Matplotlib Plotly

GCP Azure Docker Terraform Linux Git SVN SQL CMake

Pinned Loading

  1. SpeechRecognition SpeechRecognition Public

    Speech recognition using transformers-based deep learning architecture.

    Python 1

  2. CNNs-on-CIFAR10 CNNs-on-CIFAR10 Public

    Image classification using CNNs

    Python

  3. DAE-Solver DAE-Solver Public

    Solving Differential Algebraic Equations numerically.

    C++

  4. Evolutionary Evolutionary Public

    Artificial life simulation on CUDA.

    Cuda

  5. In-Out-Deep-Learning In-Out-Deep-Learning Public

    Using deep learning to determine if photo was taken inside or outside.

    Jupyter Notebook

  6. GenerativeModels GenerativeModels Public

    Generating cats images using generative AI