Twelve years running major events across the UAE, GCC and beyond, and the data scientist who builds the AI behind them.
Production & Operations Manager · Data Scientist (Kaggle Expert) · AI & Digital Transformation · VIP & Government Programs. GITEX · COP28 · Dubai World Cup · Gulfood · Al Ain Flower Festival.
Most people are an operator or a builder. The events industry is operationally mature but AI-immature. That gap is exactly where I work.
Every number on this page is real and verifiable. I would rather show a working system than describe one.
I've spent a decade on the floor those systems must survive on, so what I build holds up live.
I translate frontier AI into deployed operational tools with measured results, not decks and intentions.
Zero loyalty to any vendor. Each job goes to the model or method that actually does it best.
A data-science foundation pushed all the way to production AI. Every figure below is repo-verified.
Seven specialist agents plus a director orchestrate 95 registered tools over an event-sourced Postgres + pgvector spine, fronted by a 23-page web app. A pricing model trained on 1,136 real price points cut estimation error by roughly two-thirds. Four cost modes from $0 to ~$300/month. In production usage since July 2026.
A multi-domain knowledge base with persistent memory, automated scheduled briefs and an agent runner that orchestrates daily research, planning and reporting. The automation I use on live productions every day.
An agency plus the operational tooling I built to run it: creator data extraction, outreach that cites the creator's actual work, contract generation and reporting. Proof I build the businesses, not just the software.
Multi-currency income and obligations, a Hanafi-method zakat engine, sadaka tracking and a digital wasiyya. Built on Next.js and Supabase with row-level security and idempotent migrations. The link opens the real deployment, behind its own sign-in, because the data inside is family financial data.
It counts the prayers you owe and walks you through repaying them, at your pace, without shame: a debt calculator, a 40-day habit challenge and a daily tracker. A real product for a market almost nobody serves properly.
End-to-end machine learning from raw data to deployed Streamlit apps, plus virtual data programs with British Airways, KPMG, Red Bull and Tata Group.
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