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Achievement: Pull Sharkx2Achievement: Quickdraw

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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 and a Deep Learning project related to cryptocurrencies.
  • 👨‍🎓 I study Computer Science and Econometrics.
  • 🧩 I love solving problems!
  • 📚 I am currently learning: LLM RAG || Agent Systems || Deep Learning || Microservices.
  • 🔍 My future learning plans/projects: Algorithmic Trading || Blockchain related technologies.
  • 🚀 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 docker jenkins oracle mysql

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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. MicroservicesSocialMediaApp MicroservicesSocialMediaApp Public

    University microservices project using .NET, Docker, and REST APIs for authentication, posts, and comments in a simple social media app.

    C#

  3. ML-Heart-Disease-Classification ML-Heart-Disease-Classification Public

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

    Python 2

  4. 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 1 1

  5. DeepLearning DeepLearning Public

    DL notebooks based on my academic work from classes 'Neural Networks and Deep Learning'

    Jupyter Notebook

  6. BTC-RNN-LSTM-GRU-Forecasting BTC-RNN-LSTM-GRU-Forecasting Public

    Predicting Bitcoin's volatility using multiple neural networks and a custom dataset.

    Jupyter Notebook