A Cybersecurity graduate from the International University of Technology Twintech (IUTT), class of 2026. Combines defensive expertise in Machine Learning-based Intrusion Detection and Prevention Systems (IDS/IPS) with offensive hands-on skills in penetration testing and vulnerability assessment. Participated in the development of the graduation project "Deep Sentinel," a hybrid Real-Time Network Intrusion Prevention System (RT-NIPS) based on Decision Tree and Random Forest algorithms. Possesses extensive practical experience within the Kali Linux environment, including vulnerability scanning, ARP Spoofing, and utilizing frameworks such as Metasploit and Burp Suite for network and web application security assessment. Aspires to work in Vulnerability Analysis or Security Operations Centers (SOC), leveraging a comprehensive view of both offensive and defensive security.