MONTH 2 // PYTORCH FUNDAMENTALS

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.

45+
CTF Boxes Pwned
6%
THM Global Rank
3
Security Certs
12.6%
Roadmap Progress
pixrei@arch:~/ai-security
$ cat current_status.txt
→ Month: 2/9 | Day: 34/270
→ Focus: PyTorch + CNN Foundations
→ Status: IN_PROGRESS
$ ./train_model.py --target red_team
→ Initializing deep learning pipeline...
→ Loading security datasets...
$

Projects

Security-focused ML applications

IN_PROGRESS

Network Intrusion Detection

Real-time ML system for network anomaly detection. Building ensemble models with Flask backend for identifying suspicious traffic patterns.

Flask Scikit-learn Network
IN_PROGRESS
🎣

Phishing Detection System

Intelligent phishing detection combining NLP and ML. Identifying malicious URLs and credential harvesting attempts.

NLP TensorFlow Security
PLANNED
🔓

Adversarial ML Research

Research into adversarial robustness and evasion techniques. Model interpretability for security applications.

PyTorch Adversarial Research

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
9-Month AI Security Roadmap
34/270 days (12.6%)
Month 1
ML Basics
Month 2
PyTorch
Month 3
Adversarial
Month 4
LLM Red Team
Month 5-6
Advanced
Month 7-9
Deploy