Welcome to my corner of the web! I am a passionate developer with a deep focus on DevOps, Workflow Automation, and Cybersecurity. I build fast, efficient, and serverless tools that leverage cloud infrastructure to solve complex problems effortlessly.

When I'm not writing code, I'm likely researching new attack surfaces or finding creative ways to bypass limitations using CI/CD pipelines.

• 🔭 Currently working on: Advanced GitHub Actions automation and scalable cloud downloaders.
• 🌱 Learning: Cloud Security, Advanced CI/CD architectures, and Machine Learning applications.
• ⚡ Fun fact: I love turning basic platforms (like GitHub Actions) into highly powerful, autonomous backend servers.

I design highly optimized and secure tools, and train deep learning models. Check out my featured repositories:

• 🎵 AI-Music-Organizer: A collection of automated, AI-powered scripts to identify, tag, and organize music using Audio Fingerprinting (AcoustID), Shazam, Spotify, and NLP (Flair).
• 👕 FashionMNIST-PyTorch-Pipeline: A complete end-to-end deep learning pipeline for training and evaluating an image classifier on the FashionMNIST dataset using PyTorch.
• 📰 bbcsport-classifier-pytorch: A natural language processing (NLP) model built with PyTorch to classify BBC Sport news articles into 5 distinct categories.
• 📄 PDF-OCR: Machine Learning-powered automated OCR workflow using EasyOCR, capable of extracting text from Persian, Arabic, and English PDFs.

• 🎵 Telegram-Audio-Downloader: A powerful, secure PyQt6 GUI application to seamlessly fetch and organize audio files from Telegram chats, groups, and channels.
• 🛡️ domain-inquirer: Fully automated Attack Surface Mapping and Reconnaissance workflow using subfinder and nmap.
• ⚡ Direct-Link-Downloader: Extremely fast file downloader using parallel connections (aria2c), with cloud storage integration and dynamic compression.
• 📹 Utube-downloader: A secure, serverless YouTube media extractor with subtitle generation and encrypted cookies support.
• 🔗 Torrent-downloader-Awesome: High-speed, split-archive capable Torrent to Cloud/GitHub workflow.