Computer Science student at Western University focused on machine learning, computer vision, and building real-world systems that actually get used.

I like projects that sit at the intersection of AI, clean engineering, and strong UX.

Languages
Python · Java · C · JavaScript

AI / ML
Computer Vision · OpenCV · YOLOv8

Web
React · Node.js · Express · Tailwind

Databases & Tools
MongoDB · Git · REST APIs · Linux

Python · OpenCV · YOLOv8 · Machine Learning

• Built components of an AI system to detect scratches, dents, and paint damage on vehicles
• Benchmarked SIFT vs ORB for feature matching and image alignment
• Manually segmented and annotated 300+ damaged images by damage type
• Trained a YOLOv8 model on a limited dataset, achieving ~70% mAP
• Project selected for presentation at Toronto Tech Expo 2026

React · Node.js · MongoDB · Tailwind

• Built a full-stack booking system for a car detailing business
• Designed REST APIs to manage bookings and customer data
• Improved booking conversion rate by 85% through a streamlined user flow

• Improving ML performance on small and imperfect datasets
• Building visually rich applications with strong UX
• Preparing for SWE / ML internships

• AI Developer @ Western Cyber Society
• Collaborating on applied AI projects with real-world use cases

• Email: tareqrwk@gmail.com
• LinkedIn: https://www.linkedin.com/in/tareq-kurdiah