z Ziad Khaled
computer_engineering --status=undergrad --role="ml_intern @ flyrank"

Ziad Khaled builds production ML & agentic systems.

I'm finishing my B.Sc. in Computer Engineering at the British University in Egypt (October 2026). Right now I'm a Machine Learning Engineering Intern at FlyRank, building intelligence layers on top of messy search and analytics data. I'd rather build the thing than just read about it — this site is where that shows up: a car-damage app that ships real reports, my own JARVIS-style assistant, a gym tracker I actually use, and a brain-signal classifier I benchmarked properly.

4
real builds shipped
97.92%
BCI classifier accuracy
8wk
AI Fluency track, in progress

Selected work

02 of 04 / proof not pitch
01

FixZone

// vehicle damage detection, shipped inside a real Flutter app

Bounding boxes kept missing small dents and scratches, so I moved from YOLOv8 to YOLOv11m-seg for real outlines, retrained it around severity levels with EGP-based repair estimates, and wrapped it in an app with an offline chatbot and a PDF report generator.

→ photo in, damage report, shop suggestions, and a PDF out, end to end.

02

JARVIS

// a multi-LLM agent platform that controls my computer and browses to learn

Built a multi-LLM router plus computer-control and web-browsing tools. Caught it once reporting "done" on a task with no file ever created — I'm actively building an output-verification layer so it can't claim success it didn't earn.

→ real, unsolved problem I'm working through — not a finished demo.

See all 4 builds →

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