Muhammad Abdul Hadi Muhammad Abdul Majid@mabdulhadi

Events attended

Submissions made

Saudi Arabia

20+ years of experience

About me

GIS executive and technology leader with 17+ years of experience in GIS center establishment, spatial data infrastructure, enterprise geodatabases, and large-scale GIS data production across Saudi Arabia. Extensive expertise in developing desktop, web, and mobile GIS applications, managing multidisciplinary geomatics operations exceeding 130 personnel, and leading advanced geospatial initiatives including drone mapping, mobile LiDAR, laser scanning, GNSS surveying, and 3D reality mesh production. Proven track record in business development and strategic growth, successfully securing over SAR 60 million in opportunities since 2017 while driving digital transformation, spatial analytics, AI-enabled geospatial solutions, and smart city initiatives aligned with sustainable urban development and operational excellence.

Socials

🤝 Top Collaborators

Muhammad Abdullah

I am a thinker, enjoy listening to other thinkers.

Abdur Rahman Muhammad Abdul Majid

Here to build cool stuff with AI

Hamayl Zahid

I’m Hamayl Zahid, an aspiring AI Engineer passionate about creating human-like intelligent systems. Currently pursuing a BS in Artificial Intelligence, I’ve built projects in computer vision, NLP, and deep learning ,including exoplanet discovery, BERT-based NER, and an AI-driven OS prototype. My goal is to design impactful AI solutions that bridge innovation and real-world usability.

Abdul Aziz Muhammad Abdul Majid

🔥 Own Projects

Business Site Suitability

It evaluates whether a clicked location is a reasonable place to open a restaurant-related business using fixed, explainable spatial rules. The user will receive a clear verdict, a map overlay of nearby POIs, and the demand area polygon.

🤓 Latest Submissions

VaultIQ: Governed Document Intelligence

Enterprises sit on vast archives of image-based documents — scanned reports, government publications, multilingual PDFs — that are impossible to query at scale. Existing tools either require clean text or work in a single language. Neither assumption holds in the real world. VaultIQ solves this with a Visual RAG pipeline: instead of extracting and indexing text, it uses PageIndex to build a visual reasoning graph directly from the PDF pages. When a user asks a question, PageIndex identifies which pages are relevant — then Llama 4 Scout (via Groq) reads those raw page images and generates a grounded answer with explicit page citations. No OCR errors. No layout destruction. Tables, charts, and Arabic typography are all handled natively. On top of the RAG pipeline, Lobster Trap acts as a governance proxy — sitting between the application and the LLM backend to enforce PII detection, firewall rules, rate limiting, and full JSON audit logging. Prompt injection attempts are blocked outright. High-risk queries are flagged for human review. Every interaction is logged. Enterprise-grade auditability, out of the box. POC: Arabic and English querying over the Madinah Tranquil Livable City 2024 report, achieving 93% answer accuracy vs. 81% for a text-based baseline — a +12 percentage point improvement driven entirely by reading the pages visually. Stack: PageIndex · Groq (Llama 4 Scout) · Lobster Trap · Streamlit · Python

Hackathon link

19 May 2026

👌 Attended Hackathons

Transforming Enterprise Through AI

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.