AI & Security Researcher  ·  Cybersecurity Analyst  ·  ML-Driven Threat Detection

Tarek
Ramadan

Graduate Security Researcher  ·  Concordia University  ·  Dubai, UAE

Security researcher and AI engineer specialized in the intersection of machine learning and cybersecurity. I build systems that detect threats and uncover hidden leaks at scale using automated analysis and AI-driven methods. Open to AI and cybersecurity researcher and analyst roles.

profile.sh
$whoami
tarek_ramadan
$cat ./info.json
"role":"Graduate Security Researcher" "institution":"Concordia University" "focus":"Cybersecurity + AI/ML" "cves":2 "funding":"Government of Canada (CSE & NSERC)" "languages":"EN · AR · FR"
$ls ./skills/
web-security/network-analysis/
LLM-detection/OCR-pipelines/
vuln-research/anomaly-detection/
SIEM-SOAR/threat-modeling/
$
// about

I am a security researcher and AI engineer with an MASc in Information Systems Security from Concordia University. My work sits at the intersection of machine learning and cybersecurity — building production-grade systems that detect and measure real-world threats at scale.

I have built end-to-end detection pipelines combining LLMs, OCR, and heuristic methods, with research funded by the Government of Canada (CSE & NSERC) and published at top-tier security venues.

Beyond research, I bring hands-on experience in web application security, network traffic analysis, vulnerability discovery, and CVE disclosure. I hold a CompTIA Security+ certification and am actively seeking roles as an AI or cybersecurity researcher or analyst.

Location Dubai, UAE
Languages English · Arabic · French
Tarek Ramadan
// cves disclosed
// publications
[ Under Submission ]
Top-Tier Security Venues · Under Review
Two new measurement studies currently under submission — investigating large-scale sensitive data exposure across URL scanning, archival systems, and real-world platforms. Stay Tuned!
// security focus
I build AI-driven systems and conduct security research to detect real-world threats at scale.
Vulnerability Research
Web Application Security
Network Traffic Analysis
SIEM / SOAR Security
Sensitive Data Leakage Detection
CVE Research & Disclosure
ML & LLM-Based Detection
AI-Driven Threat Analysis
// Education
2024 — 2026
Graduated
MASc, Information Systems Security
Concordia University, Montréal
Funded · Government of Canada (CSE & NSERC)  ·  Published at top-tier security venues
2020 — 2024
BSc, Computer Science
Concordia University, Montréal