About me
🎓 I’m a graduate in Computer Systems and Informatics Engineering, passionate about Cybersecurity and defensive technologies.
🧠 I focus on blending AI, embedded systems, and network defense to create accessible tools for learning and protection.
💻 I enjoy working on real-world cybersecurity projects — from honeypots and keyloggers on ESP32 to AI-driven threat detection on Raspberry Pi.
My goal is to make cybersecurity educational, ethical, and practical.
- 🧩 Molly — Local AI assistant for Blue Team analysis running on Raspberry Pi 5.
- 🔐 FTP Honeypot on ESP32 — Captures and logs unauthorized connection attempts.
- 📡 Mini PCAP Logger — Lightweight Wi-Fi packet sniffer for educational use.
- ⌨️ Physical Keylogger (ESP32) — Awareness project showing real-world attack vectors.
All projects are focused on defensive research, awareness, and digital resilience.
💻 Languages: Python, C/C++, JavaScript, HTML, CSS
🛠️ Hardware: ESP32-S3, Raspberry Pi 5, IoT systems
🔐 Domains: Blue Team, Network Defense, Automation, AI Local Models (Llama.cpp)
⚙️ Tools: Wireshark, Nmap, Burp Suite, Linux, DaVinci Resolve
- Building autonomous defensive AI modules for Molly.
- Implementing USB-RNDIS networking on ESP32 for isolated honeypots.
- Expanding content on hardware cybersecurity and educational tools.
I’m starting to share cybersecurity content where I replicate famous movie hacks —
but in an educational and ethical way, showing how they could work in real life.
🧠 From keyloggers to network analysis, everything is hands-on and creative.
📫 Reach out to me: tucorreo@example.com
