PixRei
AI Security Researcher & Red Team Engineer
Building intelligent systems at the intersection of ML and offensive security
About
Computer Science student with hands-on expertise in ML and cybersecurity. Currently on an intensive 9-month roadmap to become a Remote AI Security / Red Team Engineer.
My approach combines penetration testing experience (45+ CTF boxes, 3 security certifications) with deep learning research. I believe the future of security lies in adaptive, intelligent systems—not static rules.
Every model I build, every line of code I write is designed for real-world impact. Currently focused on PyTorch fundamentals and security ML applications.
Projects
Security-focused ML applications
Network Intrusion Detection
Real-time ML system for network anomaly detection. Building ensemble models with Flask backend for identifying suspicious traffic patterns.
Phishing Detection System
Intelligent phishing detection combining NLP and ML. Identifying malicious URLs and credential harvesting attempts.
Adversarial ML Research
Research into adversarial robustness and evasion techniques. Model interpretability for security applications.
Skills
Machine Learning
- NumPy & Pandas
- Scikit-learn
- PyTorch / TensorFlow
- Model Deployment
Offensive Security
- Penetration Testing
- Network Analysis
- Threat Detection
- CTF / HTB / THM
Development
- Python
- Flask / FastAPI
- Linux (Arch BTW)
- Docker