Khos System
AI-powered Red Palm Weevil control system integrating multi-layered sensors, AI cameras, and autonomous drones.
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"Engineering solutions at the intersection of IoT, AI, and autonomous systems."
I am a Networking & Database Engineer with a deep focus on building intelligent, autonomous systems that bridge the physical and digital worlds. As the CEO of Khos, I lead a technical team developing AI-powered drone solutions for the agricultural sector — specifically targeting the Red Palm Weevil epidemic threatening date palm cultivation across the region.
My work spans the full stack: from embedded firmware on ESP32 and Raspberry Pi devices to cloud infrastructure on AWS and Oracle Cloud, and from drone flight controller integration (Pixhawk, JIYI K++) to edge AI inference on NVIDIA Jetson Nano.
Beyond Khos, I have applied my skills to logistics automation, cybersecurity auditing platforms, biometric attendance systems, and full-stack web development — always with a focus on practical deployment and measurable outcomes.
AI-powered Red Palm Weevil control system integrating multi-layered sensors, AI cameras, and autonomous drones.
Custom drones with electromagnetic grippers for autonomous transport and swapping of insect traps.
Automated biometric attendance system deployed on local school servers — no cloud dependency.
AI-driven platform for fully automated website auditing — performance, SEO, accessibility, and security.
Awarded first place at the 2026 ESG Forum Hackathon for the Khos smart pest management system, recognized for its environmental impact and technological innovation in sustainable agriculture.
First place at the University of Technology and Applied Sciences entrepreneurship competition, demonstrating the commercial viability and scalability of the Khos venture.
Recipient of the prestigious "Riyada" entrepreneurship award, honoring excellence in startup development and innovation within the Omani business ecosystem.
Runner-up in the Smart Systems Development Competition, recognized for advanced technical implementation and the real-world applicability of the developed autonomous systems.
Secured a competitive research grant from MoHERI to continue R&D on AI-driven and drone-based solutions for the Red Palm Weevil epidemic, validating the project's scientific merit.
Sohar University, Oman
Cloud Foundations — Amazon Web Services
RH124 — Red Hat Enterprise Linux
Available for collaboration, consulting, and speaking opportunities. Let's build something extraordinary together.
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