Computer Science Student | Cybersecurity · ML/AI · Systems Engineering
📍 Western University, Canada
CS student at Western University building at the intersection of offensive security and applied ML. I've done real pentesting work, built production automation tools, and trained computer vision models.
Western University
Bachelor of Computer Science (Expected May 2028)
- Cybersecurity & offensive security
- Applied ML & computer vision
- Systems programming & CPU behavior
- Backend & concurrent systems
Programming Languages
Systems, Cloud & Tools
Recon Automation Framework | Python
- Modular multi-stage recon integrating Nmap, FFUF, Nikto, GAU, GoSpider, and SMB enumeration
- Parallelized execution reduced total runtime by ~80%
Computer Vision · ML | Python, MediaPipe, Scikit-learn
- Random Forest classifier trained on pose estimation data — 90.74% accuracy
- Real-time squat form feedback from video upload using joint angle feature engineering
Java · Apache Maven
- Built custom work-stealing thread pool with FIFO, priority, and work-stealing scheduling policies in Java
- Implemented adaptive policy recommendation engine that profiles live runtime metrics — queue depth, worker utilization, steal rates
Python · AWS · Docker
- Automated enumeration pipeline with deduplication, deployed on AWS Lambda/EC2
C · WebAssembly · ARM64 & x86_64
- Browser-based stack visualization tool with execution engine compiled to WebAssembly
Python · Automation | Confidential — developed at Mada Communications
- Converted pentest findings into structured HTML/PDF reports, saving the team ~70% reporting time
- Performed web application reconnaissance using
ffuf,gau,gospider, andNmap - Assisted in identifying and exploiting vulnerabilities across web apps and infrastructure
- Developed Python automation scripts for vulnerability detection and reporting
- Deployed security tooling using AWS Lambda, S3, and CloudWatch
- LinkedIn: https://www.linkedin.com/in/aref-turkieh/
- GitHub: https://github.com/ATURKIEH
- Email: turkieharef@gmail.com