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BadBoy0170/README.md

Kunal Ranjan

Aspiring Cybersecurity Analyst | Network Security Engineer | SOC & Incident Response

"Securing digital ecosystems through proactive defense and advanced threat intelligence."

About Me

Hello! I'm Kunal, a dedicated cybersecurity professional with a strong focus on offensive security, threat intelligence, and vulnerability management. I believe that an effective defense stems from a deep understanding of adversarial tactics. Leveraging AI-driven tools and modern security frameworks, I specialize in safeguarding digital assets against sophisticated and evolving cyber threats.

Resume: View My Resume

What I Do

I act as a proactive digital defender, translating complex security challenges into robust, scalable solutions. My core competencies include:

  • Vulnerability Assessments & Penetration Testing
  • Security Operations (SOC) & Incident Response
  • AI-Driven Threat Intelligence & Security Automation
  • Network Fortification & Architecture Review

Current Focus

I am currently developing a Cybersecurity CLI tool designed to streamline vulnerability assessments and expedite incident response workflows. In the fast-paced realm of cybersecurity, optimizing response times is critical to mitigating potential breaches effectively.

Let's Connect

I am always open to discussing:

  • Complex cybersecurity challenges requiring innovative, automated solutions.
  • Research opportunities at the intersection of AI and cybersecurity.
  • Professional collaborations aimed at strengthening organizational security postures.

"In a world full of vulnerabilities, be the patch that fixes them."

Coding Animation
Continually analyzing, debugging, and fortifying—even at 3 AM. 😅

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  1. SIEMcli SIEMcli Public

    A lightweight and modular Security Information and Event Management (SIEM) system with CLI tools for event parsing, querying, and automated analysis.

    Python

  2. Multi-Modal_fusion_Pose_Estimation Multi-Modal_fusion_Pose_Estimation Public

    Implementation of a Multi-Modal Fusion Technique for real-time human pose estimation, leveraging both 2D and 3D sensor data to predict full-body joint positions accurately. Designed for application…

    Python

  3. Network_Anomaly_Detection Network_Anomaly_Detection Public

    A machine learning-based system for detecting anomalies in encrypted network traffic. Supports real-time analysis, multiple detection algorithms, and insightful visualizations.

    JavaScript

  4. P2P_Network_Monitoring P2P_Network_Monitoring Public

    A scalable, decentralized Peer-to-Peer (P2P) Network Monitoring System with SkyEye KOM topology, AES-256 encrypted communications, machine learning-based anomaly detection, and honeypot integration…

    Python

  5. Phantom Phantom Public

    Advanced ARP spoofing tool for ethical penetration testing and educational purposes, supporting Linux, macOS, and Windows with logging and progress visualization.

    Python

  6. shadowprint shadowprint Public

    A Python tool for security research, exploring SSL certificate generation and executable signing to study antivirus evasion techniques in a controlled, ethical environment.

    Python