Nada M•••

About

On the record

I am an AI in Cybersecurity Engineer with a Bachelor's degree in Computer and Control Engineering, specializing in the intersection of artificial intelligence and offensive security. My work focuses on developing intelligent systems for automated threat detection, autonomous penetration testing, and visual data protection. With hands-on experience in both AI R&D and cybersecurity operations, I have delivered over 12 cross-domain projects, including AI-powered pentesting agents, anomaly detection systems, and deepfake detection APIs. My expertise spans building secure software, integrating AI with cybersecurity pipelines, and leveraging ML/NLP techniques to enhance security measures. Currently, I work at SAFE ME, an AI startup focused on visual data protection, where I contribute to the development of AI-driven security solutions. I have also completed a Training of Trainers (TOT) program at the National Telecommunication Institute (NTI), enhancing my skills in technical communication and instructional design. My technical toolkit includes Python, Dart (Flutter), SQL, C++, TensorFlow, FastAPI, and a wide range of security tools like Metasploit, Nmap, and Security Onion. I am passionate about bridging the gap between machine learning and cybersecurity through practical, impactful solutions.