Senior AI Engineer with 5+ years architecting production-grade ML solutions. From edge devices to enterprise systems, I bridge research and deployment.
I specialize in building AI systems that transition from research prototypes to production-ready solutions. My work spans edge computing, LLM applications, and IoT optimization, with a focus on delivering measurable business impact.
Currently a Lecturer at King Khalid University and Lead AI Solutions Architect at Global Business Express, I combine academic rigor with practical engineering to solve complex problems.
From research labs to production systems, building AI that makes a difference.
Leading AI innovation for fleet management. Analyzed telemetry from 500+ vehicles, delivered executive dashboards that informed decisions reducing operational costs by 20%. Orchestrated automated pipelines saving 8+ hours weekly.
Teaching AI, Digital Logic, and Real-Time Systems. Built "Mo" AI Teaching Assistant using RAG, reducing student response time from 48 hours to under 1 minute. Trained 1,500+ users on Azure and embedded systems.
Developed adaptive windowing algorithm improving F1 scores from 0.39 to 0.91. Collected 130+ hours of field data for edge-deployment models. Published peer-reviewed research in Journal of Animal Science.
Real-world applications demonstrating end-to-end engineering capabilities.
Production-grade content generation platform with strictly governed quality enforcement through coordinated Writer-Critic-Editor workflow. Application-controlled orchestration using LangGraph ensures consistent professional output with real-time web intelligence integration. Designed for enterprise deployment with predictable execution paths.
Full-stack IoT solution for fleet management integrating OBD-II, GPS, and IMU sensors with real-time analytics. Containerized microservices process streaming data for predictive maintenance and route optimization.
Performance analysis tool for evaluating LLM deployment costs on CPU infrastructure. Benchmarks quantized models to determine when specialized AI accelerators provide meaningful ROI versus standard compute. Built for pre-deployment hardware selection decisions.
Containerized GenAI inference service for secure enterprise environments requiring offline AI capabilities. Implements production-grade architecture with NGINX load balancing, FastAPI workers, and horizontal scaling via Docker Compose. Designed for air-gapped deployments where data sovereignty is critical.
Enterprise resource planning solution featuring a Financial Map for geospatial analytics and a real-time Executive Dashboard. Built with a monolithic frontend architecture managing 15+ modules.
Academic grading tool with Excel import, automatic calculations, grade distribution analytics, and PDF report generation. Built for university use.
RAG-powered chatbot for Arabic-language academic support. Reduced response time from 48 hours to under 1 minute with course-accurate answers.
Wearable sensor nodes with adaptive ML algorithms for real-time behavior classification. Published in Journal of Animal Science with 15+ citations.
From low-level embedded systems to cloud AI platforms.
Industry-recognized certifications validating expertise.
Microsoft (AI-900)
NVIDIA Deep Learning Institute
Amazon Web Services
Peer-reviewed research contributing to the field of Edge AI.
Innovative ideas seeking partners, investors, or collaborators.
An intelligent AI secretary that truly remembers you across all conversations. Manages your tasks, organizes your files, sends emails on your behalf, and grows smarter with every interaction. Arabic-first technology supporting national AI initiatives.
Open to AI/ML engineering roles, research collaborations, and PhD opportunities. Currently based in Saudi Arabia, open to relocation.