6 years of experience in defence & enterprise systems. Specializing in AI-powered solutions, secure data handling, and enterprise architecture. Building production systems that require high availability and zero tolerance for failure.

Muscat, Oman ๐ด๐ฒ
6+ years building enterprise systems and AI solutions in defence and energy sectors
Worked in the Application Cell as a full-stack developer, building and maintaining enterprise-level systems in a high-security military environment. Developed production applications using ASP.NET Core, managed distributed databases, and handled sensitive classified data with strict security protocols. Built internal systems that required high availability and zero tolerance for failure. Gained deep experience in enterprise architecture, secure data handling, system integration, and working within structured operational environments.
Building AI-powered solutions for the oil and gas sector, focusing on predictive maintenance and operational intelligence. Currently developing a corrosion monitoring system that uses machine learning to predict pipeline degradation, corrosion rates, and remaining useful life โ turning reactive maintenance into predictive maintenance for energy companies in Oman. Full-stack development with ASP.NET Core, distributed databases, AI model integration, and deploying production systems that handle private operational data in secure environments.
AI-powered solutions and enterprise systems built for defence and energy sectors
An AI-powered corrosion monitoring and prediction system designed for oil and gas pipeline operations in Oman. Uses machine learning to predict pipeline degradation, corrosion rates, and remaining useful life. Built with ASP.NET Core, Python, distributed databases, and deployed in secure private data environments.
A bilingual (Arabic-English) investor intelligence and compliance monitoring system built for Oman's Ministry of Commerce. Features interactive compliance monitoring, government analytics dashboards, and automated reporting. Approximately 75% complete.
Built a web application integrated with a Retrieval-Augmented Generation (RAG) system through FastAPI. The system processes and retrieves information from large document sets using NLP, enabling intelligent search and question-answering over private organizational data. Designed for secure environments where sensitive data can't leave the organization. Handles document ingestion, semantic search, and AI-powered responses โ all running internally.
Built a comprehensive enterprise issue tracking and application management system for the Royal Air Force of Oman. The system handles the full issue lifecycle โ from reporting to resolution โ with severity tracking, developer assignment, and a searchable knowledge base of resolved issues. Also includes server inventory management, application registry, and real-time dashboard analytics. Built with Windows Authentication integrated with Active Directory for secure role-based access in a military environment.
Academic background and college-level training
Focus: C++, Python, Arduino, Embedded Systems, Digital Electronics
Focus: Data Analytics, Machine Learning, Enterprise Systems
Interested in collaborating or learning more about my work? Get in touch!