Iβm a passionate developer specializing in Artificial Intelligence and Cyber Security. I enjoy leveraging cutting-edge technologies to solve complex problems and am constantly looking to expand my knowledge and skills in AI, cybersecurity, and machine learning.
- Artificial Intelligence: Developing advanced AI models aimed at automating processes and providing actionable predictive insights.
- Cybersecurity: Crafting innovative, AI-powered solutions to enhance security protocols and safeguard data.
- Data Science: Analyzing large datasets to extract valuable trends and actionable insights, driving data-informed decision-making.
- Computer Vision: Specializing in OpenCV and PyTorch for building intelligent systems that interpret and understand visual data.
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Infosec Python for Cybersecurity Specialization
- Topics: Active Defense, Credential Access, Digital Forensics.
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EC-Council Cybersecurity Attack & Defense Fundamentals Specialization
- Covered Ethical Hacking, Network Defense, and Digital Forensics.
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Capture The Flag (CTF) Participant
- Solved cryptography, forensics, reverse engineering, and web exploitation challenges.
Here are some of my standout projects and contributions that showcase my skills in AI, Python development, cybersecurity, and more:
1. picPDF-Maker
A Python utility that converts image files into PDF format. This project is perfect for creating digital albums, presentations, and document compilations by merging images into one unified PDF.
A real-time form digitization tool utilizing OpenCV and Gemini 1.5 Flash API for text extraction. The application features hand gesture recognition for form selection, dynamic data display, and customizable UI elements.
3. Crypto Bot
A Telegram bot that tracks real-time cryptocurrency prices and supports multi-currency options. It includes commands for converting cryptocurrencies, setting price alerts, and viewing the top 100 trending coins.
An AI-powered Rock, Paper, Scissors game using computer vision to recognize hand gestures. This project integrates machine learning to enhance user interaction with a real-time gesture recognition system.
A Python-based solution for converting Jupyter Notebooks into PDF files while adding borders and page numbers. It streamlines the process for users who need to export their notebooks professionally.
Feel free to explore these projects, and check out my repositories for more tools, utilities, and contributions. Contributions are always welcome, so feel free to fork the repos and submit pull requests!
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- π Scraping Book Info from Amazon using BeautifulSoup
- π Visualizing Data Trends with Seaborn
- π‘οΈ Flask-based Web App for VirusTotal API Integration
- π Developing AI-driven Cybersecurity Models
π Pronouns: He/Him
β‘ Fun Fact: I have a knack for solving challenging CTF puzzles!