Building in public

One method. Two populations.

I build predictive models: one set predicts clinical outcomes in corneal disease, the other predicts which marketing dollar actually moves a user. Same rigour, different stakes.

◈research

Research

Predictive ML for clinical ophthalmology. Building a framework that turns IVCM corneal imaging into patient-level prognosis.

  • PhD in ML — Newcastle University
  • MSc Data Analytics — Imperial College London
  • 4 conference presentations (2025–26)
Enter research
◆growth

Growth

AI-augmented performance marketing across MENA eCommerce. I deploy agent-based workflows to compress media buying, creative iteration, and attribution cycles.

  • 819K → 2,040,879 mobile installs at Nana.sa
  • 10+ years scaling Gulf consumer products
  • AI agents for marketing operations
Enter growth
Chevening ScholarImperial College LondonNewcastle University PhDNana.saRasseedBAMC 2026AI AgentsMENA eCommerce

Currently building

IVCM Studio

An AI-powered corneal imaging platform that segments, classifies, and tracks epithelial cell morphology from in-vivo confocal microscopy.

Agent-First Media Ops

A methodology for deploying AI agents (Cursor, Antigravity, Opus-class models) into media planning, creative iteration, and campaign reporting workflows.