Hedi Luqman Abdulkarim
Security Researcher & Software Engineer
Motivated IT professional with strong experience in web development, mobile & desktop applications, databases, automation, cybersecurity, and data analytics. Able to design complete digital solutions from backend to UI, secure systems against real-world threats, and deliver projects fast and professionally.
Skills & Languages
Programming
Tools
Languages
Personal
- →Fast learner and self-motivated with strong problem-solving ability
- →Works well in teams, communicates clearly
- →Thrives under pressure, detail-oriented and responsible
- →Brings creative thinking to every challenge
Education & Experience
Jan 2024 – Jan 2025
Diploma of Administration
Kalar Technical Institute, Kalar
Notable Projects
Face Recognition Attendance System
Automated facial recognition app to track and record daily student attendance, reducing manual effort and improving accuracy.
Statistical Equation Analyzer
Program to parse, process, and solve statistical equations for academic and research use.
Experience Highlights
- →Built full websites with responsive UI and secure backend
- →Created API automation tools
- →Penetration testing and security assessments
- →Protection against XSS, SQLi, CSRF and more
- →Data analytics dashboards and automated reporting
Cyber Security Projects
Research tools, forensic utilities, and proof-of-concept scripts demonstrating network and application-level security principles.
Real IP Revealer (VPN Bypass POC)
A proof-of-concept tool demonstrating how WebRTC APIs can expose a user's real IP address even when routing through a VPN.
Media Recovery Script
Digital forensics utility to recover deleted or corrupted MP4 and image files. Supports both iOS and Android file systems.
Telegram Session Analyzer
A security research tool that extracts local session tokens, demonstrating theoretical account takeover risks from physical access.
Software & Data Projects
Applications focused on computer vision, automation, and expanding digital capabilities.
Facial Recognition Engine
Computer vision pipeline for real-time face detection and recognition. Packaged as a standalone .exe — no Python required to run.
Cross-Platform Media Bot
Automation toolkit that processes and republishes video content across platforms — YouTube Shorts to TikTok to Instagram.
Mobile Forensics Suite
In development — a comprehensive toolkit for extracting, analyzing, and reporting data from mobile devices.