Manoj Kumar

I’m a B.Tech Information Technology student and Research Analyst Intern with a focus on cybersecurity and AI-driven threat detection. I enjoy turning complex network and system behavior into actionable insights through structured analysis and clear technical communication.

In my projects, I built a hybrid CNN–LSTM–Autoencoder model to enable real-time detection of previously unseen zero-day attacks with low-latency performance. I also performed practical malware analysis in isolated virtual labs, using Wireshark and ProcMon to identify indicators of compromise from MITRE ATT&CK and VulnHub samples. More recently, I developed a real-time ransomware detection prototype using a CNN–BiLSTM and Autoencoder architecture to generate instant alerts and reduce potential data loss.

My foundation spans networking and security, reinforced by CCNA and a Google Cybersecurity Professional Certificate. I work confidently with Linux (Kali) and Windows, and I’m hands-on with tools like Wireshark, Nmap, Burp Suite, and Metasploit, while maintaining a collaborative, fast-paced mindset.