Welcome to pixelbrow720's GitHub

I'm pixelbrow720, a self-taught developer and security enthusiast specializing in AI security and Python development. My expertise lies at the intersection of building AI systems and identifying their vulnerabilities.

What I focus on:

• 🔍 Researching adversarial attacks on Large Language Models
• 🛡️ Developing techniques to identify and exploit AI vulnerabilities
• 🐍 Building security tools with Python
• 🚀 Pushing the boundaries of AI red teaming
• 🌱 Continuously expanding my knowledge through self-education

My guiding principle:

"Only a disciplined ones are free in life"

Current Projects

Career Goals

• 🔬 AI Vulnerability Research - Identifying and documenting attack vectors in state-of-the-art LLMs
• 🕸️ Security Scanner Development - Creating next-gen tools for identifying weaknesses in AI systems
• 🥷 Red Team Methodologies - Developing frameworks for thorough AI security assessments
• 🔄 Prompt Injection Techniques - Exploring sophisticated ways to manipulate AI behavior
• 🦠 Data Poisoning Research - Understanding how training data vulnerabilities affect models

• Join elite AI safety research teams (dream: becoming an AI Red Team Researcher at Anthropic!)
• Contribute to establishing industry standards for AI security
• Build a reputation as a thought leader in the AI security space
• Develop open-source tools that revolutionize how we secure AI systems

skills = {
    "Languages": ["Python", "SQL", "Bash", "HTML/CSS", "JavaScript"],
    "AI & ML": ["PyTorch", "TensorFlow", "Hugging Face", "LangChain", "ONNX"],
    "Web": ["Flask", "FastAPI", "RESTful APIs", "Django"],
    "Security": ["OWASP ZAP", "Nikto", "Burp Suite", "Metasploit", "Wireshark"],
    "DevOps": ["Docker", "Git", "CI/CD", "Linux", "Cloud Services"],
    "Databases": ["MongoDB", "PostgreSQL", "SQLite", "Redis"]
}

• Adversarial Thinking: Identifying unconventional attack vectors
• Rapid Prototyping: Quickly building proof-of-concepts
• Self-Learning: Mastering new technologies independently
• Problem Solving: Finding creative solutions to complex challenges
• Persistence: Relentlessly pursuing objectives until completion

LLM Vulnerability Scanner Automated tool that probes LLMs for security weaknesses across multiple vectors, including prompt injection, data extraction, and jailbreaking techniques.

Adversarial Attack Framework Framework for developing, testing, and documenting novel attacks against commercial and open-source language models.

AI Defender's Toolkit Collection of defensive measures and best practices to harden AI systems against the very attacks I specialize in creating.

• Comprehensive benchmark for evaluating LLM security robustness
• AI red team methodologies documentation
• Open-source security scanning and fuzzing tools

Though my formal education ended with high school, my real education never stops:

• 🌐 Self-directed learning through online courses, documentation, and research papers
• 🧪 Experimentation as the ultimate teacher
• 🧩 Project-based learning to solve real problems
• 👥 Community engagement with fellow security researchers and developers
• 📖 Continuous consumption of books, articles, and conference talks

I believe that skills are built, not born. Every day is an opportunity to:

• Learn something new
• Refine existing skills
• Challenge assumptions
• Push comfort zones
• Share knowledge with others

When I'm not hunting vulnerabilities or coding, you can find me:

• 📚 Keeping up with the latest AI research papers
• 🔎 Exploring cutting-edge LLM developments
• 🌐 Contributing to open-source security projects
• 🧠 Studying AI safety considerations
• 🎵 Coding with lo-fi beats in the background

"The intersection of curiosity and discipline is where innovation happens."

Thanks for visiting my profile! Let's connect and make AI systems more secure together.