shivamprasad 0.6.1
A simple example package
Requires Python: >=3.6

# shivamprasad

> **Identity Toolkit & Engineering Framework**  
> *Built by Shivam Prasad | AI/ML Engineer*

[![PyPI version](https://badge.fury.io/py/shivamprasad.svg)](https://badge.fury.io/py/shivamprasad)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

## 🚀 Overview

`shivamprasad` is a personal engineering framework and identity package. It serves as a central registry for my tools, improved workflows, and experimental modules in:

*   **Large Language Models (LLMs)** & NLP
*   **Multi-Agent Systems**
*   **Computer Vision**
*   **PyTorch Training Pipelines**
*   **Desktop Automation**

Includes a hacker-style terminal introduction and system status check.

## 📦 Installation

```bash
pip install shivamprasad
```

## 💻 Usage

Run the identity matrix and system check directly from your terminal:

```bash
# Recommended way
python -m shivamprasad
```

Or via Python shell:

```python
import shivamprasad

shivamprasad.hello()
```

## 🔧 Features

*   **Cross-Platform**: Works smoothly on Windows (CMD/PowerShell), Linux, macOS, and Termux (Android).
*   **Zero Dependencies**: Core identity module is pure Python.
*   **System Check**: visualizing active modules and environment status.

## 👨‍💻 About

I am Shivam Prasad, an AI and Machine Learning Engineer with a strong focus on building practical, real-world intelligent systems. My work spans Large Language Models (LLMs), Natural Language Processing, multi-agent architectures, computer vision, and PyTorch-based training pipelines. I am particularly interested in systems that combine reasoning, automation, and learning to solve meaningful problems beyond academic demos.

I approach AI as an engineering discipline, not just model experimentation. My projects emphasize clean architecture, reproducibility, and deployability—whether it is a desktop AI assistant, a RAG-based document intelligence system, or an object detection pipeline. I enjoy working close to the system level, integrating models with operating systems, APIs, and real user workflows.

I actively contribute to open-source and maintain personal frameworks that evolve alongside my learning, including tools for intent detection, agent orchestration, and automation. I believe sustainable progress in AI comes from responsible design, system thinking, and long-term maintainability, not shortcuts. My goal is to grow into a builder of intelligent infrastructure that scales with both technology and human needs.

*   **Website**: [shivamprasad1001.vercel.app](https://shivamprasad1001.vercel.app/)
*   **GitHub**: [@shivamprasad1001](https://github.com/shivamprasad1001)
*   **LinkedIn**: [shivamprasad1001](https://www.linkedin.com/in/shivamprasad1001/)
*   **HuggingFace**: [shivamprasad1001](https://huggingface.co/shivamprasad1001)
*   **Email**: [shivamprasad1001@gmail.com](mailto:shivamprasad1001@gmail.com)

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*Build intelligently. Scale responsibly.*