Abhishek Saini

Cybersecurity Engineer | Endpoint Detection & Response (EDR) Developer | Red Team Enthusiast | TryHackMe Top 8%

Cybersecurity professional specializing in building AI-driven Endpoint Detection & Response systems, red team simulation frameworks, and advanced threat detection tools.

Experienced in identifying and exploiting real-world vulnerabilities including SQL Injection, Cross-Site Scripting (XSS), and authentication flaws, while also developing defensive systems to detect and prevent cyber attacks.

🏆 2nd Place Winner – Cybersecurity Idea Hackathon, MDU Rohtak 🎯 Mission: To become a world-class Security Engineer and build next-generation cyber defense systems.

About Me

I am a passionate Cybersecurity Engineer specializing in Offensive Security, Endpoint Detection & Response (EDR), and Red Team simulations. Currently pursuing M.Sc Computer Science at Maharshi Dayanand University, Rohtak, I focus on building real-world cybersecurity tools to detect and prevent attacks. I developed an AI-based Endpoint Detection & Response system capable of detecting malicious processes and automatically responding to threats. Ranked in Top 8% globally on TryHackMe, I continuously practice web exploitation, privilege escalation, and real-world attack simulations. My mission is to become a world-class cybersecurity engineer and build next-generation threat detection systems.

Education

M.Sc Computer Science (Pursuing)
Maharshi Dayanand University, Rohtak
Graduate – B.A
Diploma in Computer Application (DCA)

Skills

Cybersecurity

  • OWASP Top 10
  • SQL Injection
  • XSS
  • IDOR
  • SSRF

Tools

  • Burp Suite
  • Kali Linux
  • Linux
  • TryHackMe

Programming

  • Python
  • JavaScript
  • HTML, CSS

Cybersecurity Projects

🥇 AI-Based Endpoint Detection & Response (EDR) System

Architected and developed an advanced Endpoint Detection & Response system capable of monitoring endpoint activity, identifying malicious processes, and simulating automated incident response. This project replicates core functionality of enterprise EDR solutions such as Microsoft Defender for Endpoint and CrowdStrike Falcon, providing hands-on experience in threat detection engineering and defensive security.

  • Built real-time process monitoring engine using Python
  • Detects suspicious and malicious behaviour based on indicators
  • Simulates automated threat response and mitigation
  • Implements core concepts of SOC-level endpoint protection
  • Demonstrates enterprise-grade detection engineering workflow

🥈 CyberSentinel – Real-Time Threat Detection & Security Monitoring Platform

Designed and implemented a real-time threat detection platform to monitor attacker activity, analyse behaviour, and provide visibility into security events. CyberSentinel simulates a Security Operations Center (SOC) monitoring environment, helping understand attack patterns, threat intelligence, and incident analysis.

  • Real-time monitoring of attacker interactions
  • Session tracking and behavioural analysis
  • Threat intelligence data collection and logging
  • Security event visualization and monitoring dashboard
  • Demonstrates practical SOC analyst and detection engineering skills

🥉 ESP8266 Evil Twin Wi-Fi Attack Simulation Lab

Developed a wireless attack simulation lab using ESP8266 microcontroller to demonstrate Evil Twin attacks and credential harvesting techniques. This project highlights wireless network vulnerabilities and demonstrates how attackers exploit user trust to capture sensitive credentials.

  • Configured ESP8266 as rogue Wi-Fi access point
  • Simulated credential capture using captive portal
  • Demonstrates wireless phishing attack methodology
  • Used for cybersecurity awareness and training
  • Provides practical understanding of Wi-Fi security threats

🏅 Digispark USB HID Attack Simulation

Implemented a USB-based attack simulation using Digispark ATTiny85 to demonstrate keystroke injection and physical access exploitation. This project illustrates real-world risks posed by malicious USB devices and highlights importance of endpoint protection and physical security.

  • Configured Digispark as malicious Human Interface Device
  • Simulated automated keystroke injection attacks
  • Demonstrated physical attack vectors
  • Helps understand endpoint security risks
  • Used for ethical hacking education and awareness

🏅 Educational Keylogger & Endpoint Monitoring Tool

Developed an educational keylogger tool to demonstrate how attackers monitor user activity and how endpoint monitoring systems detect such threats. This project enhanced understanding of endpoint surveillance, behavioural monitoring, and threat detection techniques.

  • Captures and logs keystroke activity securely
  • Demonstrates endpoint monitoring concepts
  • Helps understand insider and malware threats
  • Supports defensive security learning
  • Built using Python and JavaScript

🏅 RedTeamX – Advanced Red Team Simulation Framework

Engineered a Red Team simulation framework to replicate real-world attack scenarios for cybersecurity training and research. This project demonstrates offensive security methodology, attacker lifecycle, and adversary simulation.

  • Simulates real-world attacker behaviour
  • Implements offensive security techniques
  • Supports penetration testing practice
  • Helps understand adversary tactics and techniques
  • Demonstrates strong red team and ethical hacking skills

Certifications

Twelve Months Certification Course in Cybersecurity

Web Application Penetration Testing (WAPT)

Advanced Penetration Testing

IoT Penetration Testing

Ethical Hacking Certification

Digital Forensics

Python Programming Essentials

Linux Administration

Networking Administration

Resume

Download Resume PDF

Achievements

🏆 2nd Prize – Cybersecurity Idea Hackathon, MDU
🔥 TryHackMe Top 8% Globally
Developed AI-EDR Security Tool

Contact

Email: abhisheksaini37799@gmail.com

Phone: 8950423860

WhatsApp: 8950423860

LinkedIn:
https://www.linkedin.com/in/abhishekk-saini-a50538333