CS Student · Western University · London, ON

I Build.
I Break. I Ship.

Computer Science student at Western University (2028), focused on AI/ML, cybersecurity, and software engineering. I care less about picking a lane and more about understanding how things actually work at depth.

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80%
Runtime reduction
SPECTER-RECON
91%
Latency cut
AresScheduler
70%
Reporting time
saved · Mada
Aref Turkieh
5+
Projects Shipped
Aref Turkieh CS · Western · 2026
01 · About

Who I Am

Computer Science student at the University of Western Ontario (expected 2028), focused on AI/ML and cybersecurity. I came up through a technical foundation in low-level systems — C, Assembly, Linux — before expanding into machine learning, cloud infrastructure, and offensive security.

AI and ML are where I put my sharpest energy — building and training models from scratch, understanding the math behind the decisions, and getting them into production. The field moves fast and that's exactly what draws me to it.

My most hands-on experience was a penetration testing internship at Mada Communications International, where I worked on real offensive security operations: enumerating attack surfaces, automating vulnerability detection, and engineering reporting pipelines for live client assessments.

ML / AI
TensorFlow · PyTorch · Scikit-Learn · XGBoost · MediaPipe · OpenCV · Pandas · NumPy
Languages
Python · Java · C · Assembly (ARM/x86) · Bash · HTML · CSS
Cloud
AWS Lambda · S3 · EC2 · IAM · CloudWatch · Docker · Linux
Security
Penetration Testing · OSINT · Nmap · FFUF · GoSpider · Kali
APIs
FastAPI · RESTful APIs · SQLite · TCP/IP · DNS
02 · Experience

Where I've Worked

May 2025 — Aug 2025
Beirut · On-site
Penetration Testing Intern
Mada Communications International
  • Enumerated hidden endpoints using FFUF, GoSpider, Nmap, and GAU, uncovering 12 new attack surfaces across client infrastructure.
  • Developed automated Python tooling to detect and triage vulnerabilities across web and network targets, integrated directly into the assessment pipeline.
  • Engineered a reporting workflow converting raw scan output into structured HTML/PDF client reports, cutting reporting time by 70% on 30+ page assessments.
03 · Projects

Things I've Built

01 / 05
ML · CV · Hackathon
RepRight
AI Squat Form Analyzer · DataQuest'26
  • MediaPipe BlazePose pipeline for real-time joint angle extraction and feature engineering.
  • Random Forest classifier on 266 samples — 90.74% accuracy.
  • Full Streamlit web app with real-time inference from uploaded video.
Python MediaPipe Scikit-Learn Streamlit
02 / 05
ML · Finance · NLP
StockSignal AI
Stock Movement Predictor
  • PyTorch LSTM + FinBERT sentiment pipeline predicting 5-day direction across 14 equities.
  • 62% directional accuracy on held-out test data.
  • FastAPI + SQLite + Streamlit + Docker + GitHub Actions CI/CD.
PyTorch FinBERT FastAPI Docker
03 / 05
Security · Automation
SPECTER-RECON
Recon Automation Framework
  • Modular recon framework — Nmap, FFUF, Nikto, GAU, GoSpider, SMB enumeration.
  • CLI concurrent scanner with JSON parsing and Markdown reporting.
  • ~80% runtime reduction via parallelized execution architecture.
Python Cybersecurity Concurrency
04 / 05
Systems · Concurrency
AresScheduler
Adaptive Thread Pool Scheduler
  • Java thread pool with FIFO, priority queue, and work-stealing using per-worker concurrent deques.
  • Work-stealing reduced task latency ~91% vs FIFO under high-load benchmarks.
  • Adaptive policy engine profiling queue depth, utilization, and steal rates.
Java Concurrency Maven
05 / 05
Security · Cloud
Subdomain Enumerator
Recon Pipeline · AWS · Docker
  • Automated pipeline aggregating GAU, FFUF, GoSpider with deduplication and filtering.
  • Serverless AWS Lambda deployment with S3 storage and CloudWatch logging.
  • ~40% runtime reduction via concurrent execution and FAST_MODE optimizations.
Python AWS Lambda Docker S3
04 · Contact

Let's Connect

Open to
what's next.

Looking for ML/AI engineering roles, cybersecurity opportunities, and research collaborations. Currently based in London, Ontario.

Email turkieharef@gmail.com ↗ LinkedIn aref-turkieh ↗ GitHub ATURKIEH ↗ Resume Download CV ↓
Based in
London
Ontario