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kottoization/README.md

Hello there 👋😎

I'm a software engineer at UBS specializing in backend development with C# and Python. I hold a Master's degree in Computer Science & Econometrics from AGH UST, with a thesis focused on Retrieval-Augmented Generation (RAG) LLM systems. My core expertise lies in Machine Learning and backend development using .NET and Python, complemented by hands-on experience with JavaScript and Java in commercial environments.

During my studies, I was actively involved in scientific and organizational activities. I served as a vice-chair of the faculty’s student council and led the business partnerships team. Throughout my studies, I was also involved in a scientific club focused on .NET and Python development, where I continuously developed my technical and collaborative skills

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 a TypeScript Web App integrating Microservices with Docker, alongside with a RAG LLM application.
  • 👨‍🎓 I have a Masters in 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 typescript java azure docker jenkins oracle mysql

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  1. RAG-LLM-for-Education RAG-LLM-for-Education Public

    Agentic RAG LLM system for personalized education - master thesis app. RAG-LLM enables interactive question answering leveraging RAG architecture and Large Language Models (LLMs) applied to custom …

    Python 1

  2. ML-Heart-Disease-Classification ML-Heart-Disease-Classification Public

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

    Python 2

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

    This project involves training various neural networks to predict Bitcoin's volatility using a custom dataset we engineered from raw market and blockchain data.

    Jupyter Notebook

  4. SentimentAnalysisOnConsumentOpinions SentimentAnalysisOnConsumentOpinions Public

    NLP, text mining sentiment analysis on consumer opinions, using BERT and 2 ML models

    Jupyter Notebook 1

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

    Different design patterns in different branches, implemented in C#

    C#

  6. MicroservicesSocialMediaApp MicroservicesSocialMediaApp Public

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

    C#