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Hello World !!! 💯
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Hello World !!! 💯

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AndreyShor/README.md

💫 About Me:

I am a GenAi Engineer currently working on multiple Agentic System Projects

Feel free to contact

  • 🔭 I’m currently doing research in Reinforcement Learning Domain
  • 👯 I’m looking to collaborate on GenAi Projects
  • 💬 Ask me about LLMs and Agentic Architectures

🌐 Socials:

Discord LinkedIn

💻 Tech Stack:

Python R HTML5 Java CSS3 Azure Oracle React Express.js FastAPI SASS Vue.js Apache Postgres Adobe XD NumPy Matplotlib Pandas scikit-learn TensorFlow Scipy

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  1. company_discoverer company_discoverer Public

    AI-powered application that generates structured intelligence reports about any company based on its name and country of operation. The system retrieves publicly available information (e.g., compa…

    Python

  2. RAG_HyDE_AI RAG_HyDE_AI Public

    This repository documents a modular, containerized personal showcase agent that evaluates Retrieval-Augmented Generation (RAG) and Hypothetical Document Embeddings (HyDE) on compact LLMs. It is des…

    Python 1

  3. Grant-Project Grant-Project Public

    Comprehensive data-driven analysis of UK government grant allocations, identifying funding trends, departmental overlaps, and policy impacts through advanced statistical, semantic, and predictive m…

    HTML 1

  4. Precedence Precedence Public

    Experiments and ablation studies for reversible and precedence-aware reinforcement learning. This repository includes: Basic, runnable simulations for classic Gym environments. The full code used t…

    Python

  5. COVID-ilness_runner COVID-ilness_runner Public

    The core concept is to develop an arcade-style game where the protagonist continuously avoids viruses by maintaining a two-meter distance, while collecting face masks and antiseptics to restore or …

    Java 1

  6. KNN_analysis- KNN_analysis- Public

    A compact, reproducible benchmark of k-Nearest Neighbors (KNN) on three scikit-learn datasets (Iris, Wine, Breast Cancer), comparing a custom NumPy KNN implementation against scikit-learn’s baselin…

    Shell