Hello world, I'm
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.
Experience
Software Engineering Intern
Jan 2026 – May 2026Treepz • Toronto, ON
- Architected a type-safe API service layer spanning 10 files for a Strapi CMS migration, building a complete TypeScript interface system, 7+ high-level API methods (post retrieval, filtering, pagination, static generation support), and standardized response contracts with type guards that eliminated an entire class of null-reference errors at compile time
- Designed data transformation mappers to flatten Strapi's deeply nested response structure into clean application models, implementing fallback chains for missing fields to prevent malformed data from ever reaching the UI
- Implemented Static Site Generation with Incremental Static Regeneration (revalidating every 3600 seconds), replacing a manual JSON-based publishing workflow and cutting content publishing time from roughly 2-3 days down to under 10 minutes
- Added dynamic SEO infrastructure including JSON-LD structured data, a programmatically generated sitemap, and per-page metadata
- Collaborated with a fellow intern on a shared dashboard search feature, owning backend filtering logic and API contract
- Followed a feature-branch Git workflow, submitting weekly pull requests for senior engineer review and incorporating feedback before merge
About
I'm Baybars, a Computer Science student at York University who spends most of his time teaching machines to find structure in noise. My home turf is the Python ML stack, and the problems I like are the ones where the data fights back: leaky time series, imbalanced labels, markets that punish overfitting. My trading research platform runs a 29-feature ensemble through purged walk-forward validation, because a backtest you can't trust is just fiction with charts.
From January to May 2026 I was a software engineering intern at Treepz in Toronto. There I built a type-safe API layer for a Strapi CMS migration and moved the site onto static generation with incremental revalidation, cutting content publishing from two or three days down to under ten minutes. Off the clock I build things that see, restoring color to black-and-white photos, reading emotion from faces, turning a webcam into a sketchpad. I've worked through machine-learning and generative-AI coursework from IBM and Databricks, and what I'm after next is the kind of problem where a model stops being a demo and starts making decisions.
CONTACT
Baybars Al-Zibdeh — open to ML / software roles