AI-NATIVE MAXIMISER

TAREK
ABDELDAYEM

I direct frontier AI systems, verify their output and ship useful products end to end.

British citizen · Fluent Arabic & English · Open to relocation

Portrait of Tarek Abdeldayem in profile, looking upward, in a white shirt against a bright studio wall

Selected work

SELECTED WORK

My selected work.

Three systems I designed, directed and shipped across product, AI and data.

Project 01 of 03: RUKNA

01 / 03 · LIVE IOS PRODUCT

SHIPPED JULY 2026

A live iOS product that turns photographed local timetables into editable schedules, adds anomaly checks and supports dependable daily tracking.

SOLO · END TO ENDLIVE ON THE APP STORE

Rukna camera screen scanning a printed mosque timetable, with extracted times pinned as calloutsRukna home screen with the day's five prayers logged and a 40-day streak

SCAN → LIVE SCHEDULE · APP STORE SCREENS · DEMO DATA

Project 03 of 03: COMMERCELENS

03 / 03 · RELATIONAL DATA SYSTEM

SYNTHETIC DATASET · REPRODUCIBLE SQL

ABOUT

I use AI as a production system, not as a substitute for judgment.

I am a computer science graduate who works across product direction, AI orchestration, data, testing, design and distribution. I do not treat model output as finished work: I set the brief, shape the context, inspect failures and keep iterating until the result is coherent and usable.

Rukna is the clearest proof of that approach: I took it from a conversation to a live App Store product, owning the product direction, interface, extraction workflow, backend, testing, launch and early distribution. My support-triage project taught me to constrain and evaluate AI rather than trust it blindly. CommerceLens strengthened the relational data foundations beneath that work.

University of Liverpool

BSc Computer Science

72% · First Class

  • British citizen
  • Fluent Arabic and English
  • Open to relocation