BTech - Bachelor of Technology

I designed user-first products and plug complex systems together, from consumer apps to enterprise APIs.

• Conceived, designed (Adobe XD) and shipped Itqan.app, an Android & iOS Qur’an memorisation app that uses machine-learning to surface “Mutashabiha” verse links, with Firebase auth/sync and a FastAPI backend.
• Built a high-throughput email-intelligence stack:
– Validator that cleans 50M+ addresses using Python, Pandas, Redis, MongoDB and a live disposable-host blacklist.
– 26-layer gender-classifier trained on 10 M social handles for smarter targeting.
– Local Vagrant cluster for large-scale batch processing.
• Delivered realtime, cross-platform tools: conference-room booking for King Fahad Armed Forces Hospital (Firestore), campaign manager on VB.NET + DynamoDB, SES-powered mass-mailer, asset-tracking on Snipe-IT, and a fingerprint-based payroll system for Indexlights.
• Led dozens of API, CRM and logistics integrations, planning, coding and shipping features for:
Safa, KFHU, Al 

Technical Engineering Manager

I split my time between hunting for hidden property gems in Gulf markets and building the tech that turns those insights into real-world tools.

• Designed a “data to decision” pipeline using Python, KNIME and Tableau that sifts through a decade of regional real-estate records, cleans the mess, and flags the neighbourhoods most likely to explode in value.
• Spun up a swarm of proxy-friendly web scrapers (BeautifulSoup) that quietly gather thousands of agent profiles each week, a fuel for new partnerships and the backbone of our upcoming marketplace.
• Sketched, coded and shipped Ubezon, an Android AR proof-of-concept that lets house-hunters point their camera at a street and see live property listings pop up on-screen.
• Rolled out Mautic on WordPress so our marketing team could move from “spray and pray” emails to smart, automated drip campaigns, so no extra dev tickets required.

Lead Data Scientist

Took Azeer (formerly Mottasl.com) from proof-of-concept to production, powering millions of WhatsApp chats for 300+ businesses.

• Hand-built the messaging backbone in Go: plugged in 360Dialog, wrote onboarding flows, token-refresh and partner-event webhooks, and hardened the worker pipeline (Kafka, Redis, Postgres) for millions of daily messages, cutting launch time for new businesses from three days to under one hour.
• Architected and documented a 71-table Postgres schema (≈ 850 columns) in DBML, auto-publishing ER diagrams on every merge and ending the “which column?” debate between front- and back-end teams.
• Authored ~90% of the Hasura GraphQL layer and designed a unified JWT-based AuthN/AuthZ scheme that keeps Go services, Hasura and React in perfect sync.
• Hardened the messaging core: Kafka-backed workers with panic-safe logging, message-status tracking, duplicate-send guard, and timezone-aware scheduled broadcasts that now deliver millions of messages with >99.99% success ra

Solutions Architect

• Built Zinnox Reporting Tool (ZRT), a VB .NET desktop app that turns raw pentest data into polished, client-ready reports in minutes; powered by CouchDB and showcased live at Nullcon 2018.
• Cut analysts’ reporting time by 80% through one-click data import, auto-templating and vulnerability severity scoring according to OWASP guidelines.

• Designed and shipped FollowApp for Android. a feather-light call-manager/mini-CRM that records calls, lets users mark and annotate key moments in real time, sets follow-up reminders straight to Google Calendar, and surfaces everything on a clean dashboard.
• Ensured full device coverage (Android 4.3 Jelly Bean → Nougat), zero analytics bloat, and multiple recording options for flawless voice capture.

Application Developer

Turned ideas into production-scale chat and voice experiences, with a special focus on Arabic NLP. 

Highlights:
• Launched a cloud-hosted multilingual WhatsApp, Twitter (now X) and web bot that understands Arabic and English, handles order tracking, and answers everyday questions, built on Rasa, FastText and custom policies for Avokado.sa.
• Created the world’s first Arabic small-talk model on RASA 1.10, with over ~1,500 chit-chat intents plus an AllenNLP comprehension layer (ELMo + BiDAF) for more natural, business-aware replies.
• Invented an Agent-Takeover policy (HITL/Human-in-the-Loop) so live agents can jump into any Rasa chat (web or WhatsApp) without breaking context.
• Built a context-aware service bot for Toyota that books service tickets automatically.
• Delivered a real-time AI IVR for Avokado: FreeSWITCH + RASA + Google STT/TTS, fine-tuned for Arabic, pluggable with any SIP trunk, custom dialplans & mod_python supporting audio codecs like: G722, G.726, PCMU - G711.
• Engi

Machine Learning Engineer

<p>• Spearheading the development of innovative automation solutions, enhancing efficiency across products and services. 
• Leading the technical backing for advanced TSP fleets, Voice AI agents, Realtime Computer Vision models, to drive significant advancements in user experience. 
• Collaborating to create scalable infrastructure solutions for Nurrish, Voxeme AI, and AirWear.</p>

Co-Founder | CTO

CTO @Autoficial Labs | Architecting Intelligent Solutions | Leading Teams | Driving AI, Data, and UX

projects

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