Passionate about technology with a keen focus on AI security. I am constantly learning and exploring red teaming methodologies applied to large language models (LLMs), striving to build more resilient and secure automated systems
🔭 Current Focus & Research AI Security: Investigating vulnerability assessment and robust deployment strategies for intelligent systems🧠🔐
Red Teaming: Actively exploring adversarial testing techniques to improve the safety and reliability of LLMs🧪🚩
Automation: Refining security workflows to create highly efficient, self-defending, and resilient automation pipelines⚙️⚡
| Snake Eating Contributions in the last year |
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- ai-control: Automation, AI, and various experiments for Android.
- ai-bot-core: Core and logic development for intelligent bots in Python.
- 🐍 Python / ☕ Java / ⚙️ Systems Automation
- 🤖 Artificial Intelligence API Integration
- 📱 Android Developmenmt
📫 Feel free to check out my repositories and leave a star if you like my work!
| It's not a bug, it's an undocumented feature | Building the future, one line of code at a time |
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Learning Journey & Progress (Enfoque en proceso de aprendizaje) Active Learner: 📖 Currently leveling up my skills in AI security, diving deep into how machine learning models process threats and how to secure them against adversarial attacks
Constant Evolution: 🌱 Day by day, expanding my technical horizon from standard software development into the complex and fascinating world of Artificial Intelligence safety
Exploration Phase: 🔭 Currently experimenting with LLM red teaming, vulnerability testing, and security frameworks to understand the fragile points of modern AI
Leveling Up: 📈 Dedicating time to research, break, and rebuild AI architectures to master the fundamentals of secure intelligent systems
🔬 Research & Experimentation (Experimentación y práctica)
Hands-on Security: 🛠️ Learning by doing—building custom automation scripts and testing AI integrations to discover how they behave under pressure
Breaking to Learn: 🧪 Exploring offensive security concepts (red teaming) to better understand how to defend AI-driven applications effectively
Curiosity-Driven: 💡 Constantly reading documentation, testing APIs, and learning how to mitigate risks in autonomous systems
