Hello world, I'm

BAYBARS

Computer Science student at York University, focused on AI and machine learning. I build models that find patterns, make predictions, and turn raw data into decisions worth acting on.

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Projects

01

Algorithmic Trading Research Platform

End-to-end quantitative trading system built on a 459,000-candle data pipeline with a 29-feature ensemble (XGBoost, RF, GBM, ET, Ridge). Validated via purged walk-forward CV with bootstrap confidence intervals and PBO measurement. Implements López de Prado's purged K-fold CV with triple-barrier labeling and embargo periods to eliminate label leakage in time-series ML models.

02

Black & White Image Colorizer

Full-stack AI app that restores color to grayscale images using the Zhang et al. deep learning model. A FastAPI backend runs a Caffe network — converting images through LAB color space, predicting 313 AB color bins, and returning a colorized JPEG in under a second.

03

Facial Expression Recognition

Detects faces via webcam and classifies emotions in real-time. A computer vision pipeline that captures frames, isolates face regions, and runs them through a trained classifier — outputting the detected emotion live on screen.

04

Hand Tracker

Real-time hand tracking app that lets you draw using your index finger. MediaPipe detects 21 hand landmarks per frame and maps fingertip movement to canvas coordinates — turning any webcam into a touchless drawing surface.

05

Time Calculator

A Python utility that performs arithmetic on time strings — adding and subtracting durations, handling AM/PM periods, and computing the resulting day of the week. Handles edge cases like midnight rollovers and multi-day additions.

Experience

01

Front-End Developer Intern

Jan 2026 - April 2026

Treepz • Toronto, ON

  • Build responsive web applications using Next.js, React, and TypeScript
  • Implement UI designs with Tailwind CSS and develop reusable component libraries
  • Integrate RESTful APIs and optimize application performance
  • Collaborate with cross-functional teams and participate in code reviews
Baybars Al-Zibdeh

About

I'm a Computer Science student at York University with a deep interest in artificial intelligence and machine learning. I work with Python, scikit-learn, and pandas to build models that classify, predict, and cluster. I'm certified in ML and Generative AI, and I'm actively looking for opportunities to apply that knowledge to real problems at scale.

BAYBARS AL-ZIBDEH

CERTIFICATIONS

IBMMachine Learning with Python
IBMIBM Z Xplore
IBMFundamentals of Encryption & Quantum-Safe
DatabricksGenerative AI Fundamentals
DatabricksDatabricks Fundamentals
FreeCodeCampScientific Computing with Python
MicrosoftFoundational C# with Microsoft
LinkedInGitHubEmailResume