Data & AI, Systems, People
Agentic AI, Systems Engineering, and Automations built for business outcomes and adoption.
Python 
Microsoft Azure 
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Docker 
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Palantir 
Hugging Face 
Ollama 
LangGraph In Enterprise Value Supported
Solutions in Production
Industry Certifications
Data & AI Professionals Mentored
From Honours graduate to national AI lead — a decade of compounding impact.
Owned and Built executive-grade AI systems and cloud-native data platforms for NEOM's highest-stakes decisions, while leading engineers across the full AI delivery lifecycle.
Spearheaded NEOM's foundational Arabic LLM — recognised as Saudi Arabia's national champion — and represented NEOM at national events to VVIPs and audiences of 500+.
Deepened expertise in NLP and AI systems at KAUST, one of the region's top research institutions, directly laying the groundwork for technical leadership in LLM space.
Managed $17,000+ in research grants as Principal Investigator across Systems and Machine Learning — producing peer-reviewed publications at international venues.
Self-initiated OpenCV and automation projects projected to save ~$500,000 annually, demonstrating entrepreneurial drive within one of the world's largest energy companies.
Graduated with Distinction, building deep foundations in algorithms, systems, and machine learning while concurrently leading university research as Principal Investigator.
Tools and disciplines built across research, engineering, and national-scale AI delivery.
Production systems and research initiatives that shipped and drove measurable, real-world impact.
Embedded agent that monitors executive mailboxes, captures action items, and delivers daily summaries of ongoing conversations and required follow-ups. Recovers ~2 hours of executive attention per person per day and ensures critical communications and decision points don't slip.
Qwen3 agentic pipeline that reasons over procurement order attachments in SAP Ariba, extracting scope of work, stakeholders, and timelines. Processes 100–200 new POs per month and surfaces redundant scope, risk flags, and decision-ready data on every record.
Agentic risk analysis over project proposals — reasons against a structured risk library to flag local content risk, illogical assumptions, and proposal gaps, then generates an executive summary. Covers ~200 proposals per year representing approximately $50B in project value.
Generates enriched reports with charts of all engagements between a business unit and its suppliers, or between a supplier and all business units. Used bi-weekly by executive teams — compresses a 3-day manual analyst workflow into minutes.
Natural-language interface that converts plain English questions into safe, explainable MongoDB queries (MQL). Demonstrates a self-serve analytics path that, at scale, would deflect a substantial share of ad-hoc data-engineering requests directly to business users.
Built the Groq API integration into Palantir Foundry, exposing sub-second LLM inference to downstream agentic systems. Reduced LLM response latency from minutes to seconds — now the inference layer underneath Risk360 and Engagement360.
Whether it's a consulting enquiry, speaking engagement, collaboration on AI research, or just a hello.