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Achievement: QuickdrawAchievement: Pull Shark

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kottoization/README.md

Hello there 👋😎

I'm a software developer currently pursuing a master's degree in Computer Science & Econometrics at AGH UST. My primary interests lie in Machine Learning, .NET, and Python development but I also have intern level work experience with JavaScript and Java.

At university, I actively engage in scientific and social activities. I'm a member of a scientific club where I enhance my skills in .NET and Python while serving as the vice-chair of the faculty's student council.

I have proffesional experience in Web Development, Testing and DevOps - you can find more information on my LinkedIn

I am also an active user of LeetCode ✨

An overview of my ongoing projects and continuous learning:

  • 🔭 I'm currently immersed in developing an ASP .NET Core Web App integrating Microservices with Docker, alongside with a RAG LLM application.
  • 👨‍🎓 I study Computer Science and Econometrics.
  • 🧩 I love solving problems!
  • 📚 I am currently learning Machine Learning / Deep Learning || LLM RAG Systems || C# || Microservices || Docker.
  • 🚀 I am interested in expanding my Machine Learning and Backend Development knowledge in the future.

💻 Languages and Tools:

csharp python pandas pytorch scikit_learn langchain javascript html5 css3 java azure jenkins oracle mysql sqlite

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  1. Design-Patterns-in-C-Sharp Design-Patterns-in-C-Sharp Public

    Different design patterns in different branches, inplemented in C#

    C#

  2. vacationey vacationey Public

    Forked from sewcio543/vacationey

    MVC based .NET fullstack web app

    C#

  3. RAG-LLM RAG-LLM Public

    RAG-LLM enables interactive question answering leveraging RAG architecture and Large Language Models (LLMs) applied to custom dataset regarding Medium articles.

    Python

  4. ML-Heart-Disease-Classification ML-Heart-Disease-Classification Public

    Machine Learning Classification Techniques Project - Random Forest, SVM, K-Nearest Neighbors, Logistic Regression

    Python 2

  5. TSP-from-scratch-in-Python TSP-from-scratch-in-Python Public

    TSP problem solved using five computational intelligence algorithms, implemented from scratch in Python.

    Jupyter Notebook

  6. MachineLearning MachineLearning Public

    Machine Learning repository containing diverse ML techniques and projects developed across multiple branches

    Python 2