Omar Bouhaddach
> Cybersecurity & Digital Trust Engineer
Engineering student at ENSET Mohammedia. I build things that detect, analyze, and respond to threats — from honeypots to forensic tools. Certified LLM Security Professional (CLLMSP). Previously: DUT in AI & Emerging Technologies at EST Meknès.
Engineering Depth
Étudiant ingénieur en Cybersécurité & Confiance Numérique à l'ENSET Mohammedia. Je conçois des systèmes qui détectent, analysent et répondent aux menaces — des honeypots aux outils forensiques, en passant par des plateformes blockchain sécurisées.
Parcours : DUT en Intelligence Artificielle & Technologies Émergentes à l'EST Meknès.
Passionné par la cybersécurité offensive, l'IA appliquée à la sécurité, et l'open source.
Core Competencies
Click to explore detailed experience and technologies
Security Engineering
Cryptography, Penetration Testing, Network Security
Computer Vision
Real-time detection, AR visualization, Liveness detection
Machine Learning
Predictive models, NLP, Disease prediction AI
Blockchain & Web3
Smart contracts, Ethereum, Decentralized systems
Cloud & DevOps
AWS, Azure, Docker, Production deployment
Full-Stack Development
Python, React, Node.js, PostgreSQL
Professional Experience
Intern — Computer Vision & Augmented Reality
Recent- ▸Developed a Virtual Try-On system for shoes using AI-powered foot detection achieving 92% accuracy in real-time
- ▸Built interactive 3D rendering pipeline with Three.js serving 30 FPS AR visualization on physical surfaces
- ▸Engineered complete ML pipeline: 2D detection → 3D modeling → real-time AR visualization, reducing customer returns by 35%
Intern — Web Development & AI Cloud Solutions
Completed- ▸Deployed AI chatbot handling 500+ daily customer queries with 89% resolution rate, reducing response time by 60%
- ▸Built ML prediction models on production datasets achieving 84% accuracy, improving operational efficiency by 40%
Engineering Portfolio
HoneyPot-AI
Intelligent multi-service honeypot with real-time behavioral attacker profiling, OSINT correlation, and SOC alerting via Telegram. Built for intrusion detection research.
MEDVERSE
Secure medical platform with Ethereum blockchain for patient data management, AI disease prediction model, medical chatbot, and JWT access control.
# Smart Contract - Patient Data
contract MedicalRecords {
mapping(address => Patient) private patients;
function addRecord(bytes32 hash) public {
require(hasRole(DOCTOR_ROLE, msg.sender));
patients[_patient].records.push(hash);
emit RecordAdded(_patient, hash);
}
}Secure Backup Tool
Encrypted backup system with AES-256 encryption, SHA-256 integrity verification, and Azure Blob Storage integration.
from cryptography.fernet import Fernet
import hashlib
def encrypt_and_backup(file_path):
# AES-256 Encryption
cipher = Fernet(key)
encrypted = cipher.encrypt(data)
# SHA-256 Hash for integrity
file_hash = hashlib.sha256(data).hexdigest()
# Upload to Azure
blob_client.upload_blob(encrypted)TheDecoder
Multi-format decoding automation tool (Base64, Hex, Rot13, etc.) dedicated to CTF challenges and cybersecurity competitions.
def auto_decode(encoded_str):
decoders = [
('Base64', base64_decode),
('Hex', hex_decode),
('Rot13', rot13_decode),
('URL', url_decode)
]
for name, decoder in decoders:
try:
result = decoder(encoded_str)
if is_valid_output(result):
return (name, result)
except:
continueFaceTrack
Anti-fraud attendance system with liveness detection to prevent identity spoofing via photos, videos, or stream injection.
def detect_liveness(frame):
# Blink detection
ear = eye_aspect_ratio(landmarks)
# Texture detection (photo vs real skin)
texture_score = analyze_texture(face_roi)
# Depth detection
depth_map = estimate_depth(frame)
is_live = (blink_detected and
texture_score > THRESHOLD and
depth_variation > MIN_DEPTH)
return is_liveBLACKBOX OS
Forensic CLI tool for Linux servers with Watch / Analyze / Playback modes and automated SOC alerts.
#!/bin/bash
# BLACKBOX Watch Mode
monitor_auth() {
tail -f /var/log/auth.log | while read line; do
if [[ "$line" == *"Failed password"* ]]; then
send_telegram_alert "🚨 Unauthorized Access Attempt"
fi
done
}Tifaouine Platform
Trilingual institutional web platform with JWT auth, HTTPS, production deployment.
server {
listen 443 ssl http2;
server_name outalha.enset.top;
ssl_certificate /etc/letsencrypt/live/outalha.enset.top/fullchain.pem;
location /api/ {
proxy_pass http://localhost:5000;
}
}ShadowTrace
Forensic image analyzer — steganography detection, EXIF extraction, LSB analysis.
def extract_lsb(image_path):
img = cv2.imread(image_path)
extracted = ""
for row in img:
for pixel in row:
for channel in pixel:
extracted += str(channel & 1)
return parse_binary(extracted)Global Threat Intelligence
A real-time visualization layer demonstrating the core capability of HoneyPot-AI. Detecting, mapping, and analyzing distributed attack vectors autonomously.
Academic Background
Engineering Degree — Cybersecurity & Digital Trust
In ProgressAdvanced training in secure systems architecture, applied cryptography, network defense, and SOC operations.
DUT — Artificial Intelligence & Emerging Technologies
CompletedTraining in Machine Learning, Deep Learning, Computer Vision, Blockchain, Cloud Computing, Web Development, and Big Data.
Baccalaureate in Physical Sciences
CompletedRigorous focus on advanced mathematics and physics.
Get In Touch
Feel free to reach out for collaborations or just a friendly hello.