Exploring Cybercrime Investigation
Ajman, UAE • +971 545 428639 • ar1794997@gmail.com • github.com/HACKERpgx • www.linkedin.com/in/abdul-rehman-ssite
Disciplined Grade 12 student with a solid base in python, software development, and cyber security. I build practical projects — AI tools, automation scripts, and interactive web experiences. Open to internships and trainee roles.
- Programming & Development
- Python — logic building, scripting, automation
- API Integration — basic usage and connectivity
- Problem‑Solving & algorithms
- GitHub — version control, branching, repositories
- Evidence Handling
- CS Foundations
- Cybersecurity Principles — foundational security awareness
- Computer Systems fundamentals
- Environment Variables — secure usage
Stack: Python, API Integration, Environment Variables, Gmail Automation
What I built: A Python-based personal AI assistant for daily planning and question answering — designed to be actually useful, not just a learning exercise.
How I built it:
- Designed a core conversation loop in Python from scratch
- Integrated external APIs to give JAI real, dynamic capabilities
- Secured all credentials using environment variables (a production habit most beginners skip)
- Experimented with Gmail automation to understand OAuth-style authentication flows
Results: A working, API-connected assistant with proper secret management. Came away with a real understanding of how production systems handle credentials — before any formal training on the topic.
Stack: Three.js, TensorFlow.js, JavaScript, Browser APIs
What I built: A browser-based 3D particle system controlled entirely by hand gestures — no mouse, no keyboard. Your webcam tracks your hands in real time, and pinch gestures morph thousands of particles into geometric shapes.
How I built it:
- Built the 3D rendering engine using Three.js
- Layered TensorFlow.js for real-time AI hand tracking, both running fully in-browser (no backend)
- Wrote custom mathematical algorithms to map hand landmark coordinates to particle geometry transformations
- Optimized for performance: async model loading + efficient coordinate updates = 30+ FPS on standard webcams
Results: Live, publicly accessible, and running smoothly. A full pipeline from physical motion → computer vision → 3D rendering, built without a backend or native app.
- 🔐 Exploring cybersecurity fundamentals & ethical hacking
- 🐍 Deepening Python skills through automation projects
- 🌐 Improving JAI with new features
- 📚 Grade 12 CS — graduating 2027
- Python (Basic) - HackerRank
- One Million Prompters - Certificate of Completion