┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ ┃
┃ ██╗ ██╗███╗ ██╗ ██████╗ ██╗ ██╗ ██╗ ██╗ ██████╗ ██╗ ┃
┃ ██║ ██╔╝████╗ ██║██╔═══██╗██║ ██║ ╚██╗ ██╔╝██╔═══██╗██║ ┃
┃ █████╔╝ ██╔██╗ ██║██║ ██║██║ █╗ ██║ ╚████╔╝ ██║ ██║██║ ┃
┃ ██╔═██╗ ██║╚██╗██║██║ ██║██║███╗██║ ╚██╔╝ ██║ ██║╚═╝ ┃
┃ ██║ ██╗██║ ╚████║╚██████╔╝╚███╔███╔╝ ██║ ╚██████╔╝██╗ ┃
┃ ╚═╝ ╚═╝╚═╝ ╚═══╝ ╚═════╝ ╚══╝╚══╝ ╚═╝ ╚═════╝ ╚═╝ ┃
┃ ┃
┃ "Knowing yourself is the beginning of all wisdom." ┃
┃ — Aristotle ┃
┃ ┃
┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
class CyberWarrior {
public:
string alias = "Anan Alim";
string role = "Aspiring Penetration Tester";
string edu = "CS @ BRAC University";
string focus = "Jr. Penetration Tester Path";
struct Philosophy {
string approach = "Slow but deep";
string style = "Structured learner always";
string mindset = "Builder";
} mindset;
struct Goals {
vector<string> certs = {
"eJPT (Aug 2026)",
"OSCP (Sept 2027)",
"CRTO (Post-OSCP)"
};
string ultimate = "Red Team Operations";
} roadmap;
struct Arsenal {
string work = "Kali Linux";
string daily = "Ubuntu";
} os;
}; | |
  ⚡ PHASE 1 eLearnSecurity Junior Penetration Tester  |  |  🔥 PHASE 2 Offensive Security Certified Professional  | |  💀 PHASE 3 Certified Red Team Operator |
+ MISSION: Transform from student → Red Team Operator
+ TIMELINE: 2026-2028
+ METHOD: Structured learning | Deep understanding | Constant building
  Active Learning Platform |   Code Repository |   Direct Messaging |
🔗 LinkedIn • 📝 Blog — Initializing Soon...
missions:
- CTF Teams & Competitions
status: "beginner-friendly welcome"
- Security Research & Writeups
status: "knowledge sharing enthusiast"
- Open-Source Security Tools
status: "builder mindset active"
- eJPT/OSCP Study Groups
status: "structured learning partner" | 
@@ COLLABORATION STATUS @@
+ OPEN TO: Red Team discussions
+ OPEN TO: CTF team formations
+ OPEN TO: Security project partnerships
! RESPONSE TIME: ~24 hours |
#!/usr/bin/env python3
# NEURAL TRAINING PROTOCOL v2.0
class LearningEngine:
def __init__(self):
self.mode = "DEEP_DIVE"
self.documentation = "Obsidian Neural Vault"
self.approach = "Structured & Methodical"
def execute(self):
while self.alive:
self.learn(depth="maximum", pace="sustainable")
self.document(format="obsidian_markdown")
self.build(mindset="production_ready")
self.repeat()
return "Student today. Red Teamer tomorrow."
# Initialize Learning Matrix
engine = LearningEngine()
engine.execute()
