Portfolio

Applied AI with business and research depth.

Selected enterprise, government and research work โ€” organized as case studies rather than a list of responsibilities.

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untitled design (3)

Advisory Services

From strategy to systems

Enterprise transformation, government AI and applied research.
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Enterprise AI Architecture

Design and implement production-grade AI systems โ€” Hybrid RAG, GraphRAG, and multi-agent orchestration integrated with your existing infrastructure and knowledge bases.
GraphRAG | Hybrid RAG | 100K+ Docs

Generative & Agentic AI

Build autonomous multi-agent systems and LLM-powered automation pipelines using LangGraph, CrewAI, AutoGen, and n8n โ€” reducing manual processes and boosting operational efficiency.
LangGraph | CrewAI | n8n | AutoGen

Real-Time AI Pipelines

Streaming AI systems for fraud detection, anomaly detection, and risk scoring. Proven at 1Mโ€“5M+ daily events with sub-second inference latency.
Fraud Detection | Real-Time | vLLM

AI Governance & Compliance

Establish AI governance frameworks covering model lifecycle, compliance, explainability, and operational risk โ€” aligned with regional regulatory requirements.
MLOps | MLflow | Compliance

MLOps & Cloud AI Deployment

Production deployment on Azure, AWS, and IBM Cloud using Kubernetes, Docker, and CI/CD pipelines. Includes monitoring, model versioning, and scalable inference infrastructure.
Azure | AWS | Kubernetes

AgriTech & Manufacturing AI

Predictive analytics, quality monitoring, and anomaly detection for agricultural and industrial operations โ€” integrated with real-time operational data pipelines.
Smart Manufacturing | AgriTech | Predictive

Production Systems

Enterprise Deployments

Real systems. Real impact. Deployed across government, banking, and industrial sectors.

๐Ÿค– ENTERPRISE AI TRANSFORMATION

Aanan Education โ€” AI Transformation

Leading an organization-wide AI transformation initiative for Aanan Education, focusing on AI strategy, intelligent automation, Agentic AI adoption, and the integration of AI into business and operational workflows.

  • Enterprise AI strategy and transformation planning
  • Agentic AI and intelligent workflow design
  • AI adoption across business and operational functions
  • Technical leadership and AI team direction
AI Strategy Agentic AI AI Transformation

๐Ÿ› GOVERNMENT AI ยท UAE

Abu Dhabi Ministry of Interior โ€” Computer Vision & Data Science

Worked as a Computer Vision Team Lead and Data Science Consultant on applied AI initiatives within Abu Dhabi Ministry of Interior from April 2024 to August 2025.

  • Led Computer Vision activities within the project team
  • Provided Data Science expertise for government AI initiatives
  • Contributed to an electronic archiving system project
  • Worked with technical and domain stakeholders on applied AI solutions
Computer Vision Data Science Government AI

๐Ÿ› PUBLIC SECTOR AI

Ministry of Communications โ€” Strategic AI Engagement

Strategic AI engagement delivered through Daturial, contributing to the design, planning, and technical direction of applied AI initiatives.

  • AI strategy and technical consultation
  • Applied AI solution planning
  • Technical leadership through Daturial
AI Strategy Public Sector

๐Ÿš€ AI ENABLEMENT ยท EGYPT

Creativa Egypt โ€” AI Strategy & Enablement

Strategic AI engagement through Daturial focused on AI enablement, technical direction, and the practical adoption of Artificial Intelligence.

  • AI strategy and technical enablement
  • Applied AI knowledge transfer
  • Technical leadership through Daturial
AI Enablement AI Strategy Innovation

๐Ÿฆ Banking & Fintech ยท GCC & MENA

Fraud Detection & Risk Intelligence Engine

Architected real-time fraud detection and risk intelligence systems for high-volume financial environments, integrating Machine Learning, distributed processing, and multi-agent compliance automation.

  • Distributed architecture processing 1Mโ€“5M+ daily financial events
  • Sub-second inference requirements for real-time risk scoring
  • Multi-agent compliance automation using LangGraph and CrewAI
  • Transaction monitoring and financial risk workflows
5M+
Daily Events
30%+
Model Performance
50%+
Compliance Efficiency
Machine Learning Real-time AI LangGraph CrewAI

Research

Medical AI & Explainability

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๐Ÿ”ฌ RESEARCH & PUBLICATIONS

IEEE ยท ICMISI 2026

Revisiting Aggregation Strategies in Multiple Instance Learning for MSI Prediction: A Comparative Study

Research on Multiple Instance Learning and computational pathology.

Multiple Instance Learning Computational Pathology Medical AI

M.Sc. THESIS ยท DATA SCIENCE

A Hybrid Deep Learning Framework for Personalized and Explainable Histopathology Diagnostics

Deep learning, explainability and AI-assisted histopathology diagnostics.

Deep Learning Explainable AI Histopathology Medical AI

Organizations Served

Trusted By Leading Names

Enterprise and government clients across GCC & MENA.