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ARSALANnam/README.md

πŸš€ ARSALANnam | Echolyno

"Code. Create. Improve."

πŸ‘¨β€πŸ’» About Me

  • πŸ€– AI & ML Learner
  • πŸ’» Computer Engineering Student
  • 🐧 Linux User
  • 🎯 Java Learner

🧠 Tech Stack & Skills

πŸ’» Programming Languages

Java Python C C++ HTML5 CSS3

πŸ€– Machine Learning & Deep Learning

PyTorch TensorFlow Keras scikit-learn OpenCV Hugging Face

πŸ“Š Data Science & Scientific Computing

NumPy Pandas Matplotlib Seaborn Jupyter SciPy Plotly Dash Polars

πŸ—„ Databases

PostgreSQL MySQL SQL

πŸ–₯ Backend Development

Java Ecosystem:
Spring Boot

Python Ecosystem:
Flask

βš™οΈ DevOps, Tools & OS

Linux Git Vim

⚑ Tech

public class Arsalan {
    // Programming Languages
    private final String[] languages = {
        "Java", "Python", "C/C++"
    };

    // Machine Learning & AI Concepts
    private final String[] aiSkills = {
        "Machine Learning (ML)",
        "Artificial Intelligence (AI)",
        "Convolutional Neural Network (CNN)",
        "Large Language Models (LLM)", "Transformer"
    };

    // Frameworks & Libraries
    private final String[] aiFrameworks = {
        "PyTorch", "TensorFlow", "Keras", "scikit-learn", "OpenCV"
    };

    // Data Science Tools & Libraries
    private final String[] dataTools = {
        "NumPy", "Pandas", "Matplotlib", "Seaborn", "SciPy", "Plotly", "Dash", "Jupyter"
    };

    // Development Tools & Systems
    private final String[] tools = {
        "Git", "Linux"
    };

    // Backend Development (Java Ecosystem)
    private final String[] backendJava = {
        "Spring Boot"
    };

    // Backend Development (Python Ecosystem)
    private final String[] backendPython = {
        "Flask"
    };

    // Databases
    private final String[] databases = {
        "SQL", "PostgreSQL", "MySQL"
    };
}

🌐 Socials

Telegram YouTube YouTube LinkedIn Stack Overflow Discord Reddit Kaggle LeetCode Codewars Gmail

πŸ“Š GitHub Stats:



✍️ Random Dev Quote

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    Deep learning-based dog breed classification system ( Working on a project.... )

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    This project focuses on classifying astronomical objects into three categories: Stars, Galaxies, and Quasars using machine learning techniques.

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  4. Sound-Vision Sound-Vision Public

    This project is a Music Genre Classifier built with Deep Learning using the features_3_sec.csv dataset.

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  5. Persian-NumPy Persian-NumPy Public

    NumPy documentation but In Persian

    Jupyter Notebook 5

  6. Persian-Plotly Persian-Plotly Public

    Plotly documentation but In Persian

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