B.Sc. Network Engineering & Cybersecurity graduate, open to relocating anywhere, who builds systems from edge to cloud — and then keeps building on his own time. Beyond a NASA-recognized graduation project, I've independently shipped a multilingual phishing-detection tool and a network intrusion detector validated against real attack traffic. Trilingual. Top 100 nationally.
I am a Network Engineering & Cybersecurity graduate from Jordan University of Science and Technology, actively seeking an entry-level role in networking, security, cloud, or IoT engineering — with full flexibility to relocate anywhere the right opportunity is.
My graduation project — a real-time animal detection system built on Raspberry Pi 5 with YOLOv5, MQTT, and AWS IoT Core — was recognised in the 12th National Technology Parade (Top 100). Since then I've kept shipping: a bilingual phishing-detection tool for Hebrew and Arabic speakers, and a lateral-movement detector I built and validated end-to-end against real captured attack traffic on a self-hosted VM network.
I am trilingual in Arabic, English, and Hebrew, giving me a genuine advantage in Israel's diverse tech ecosystem. I move fast, document thoroughly, and care deeply about the security of the systems I touch.
Design, build, and validate my own security tooling end-to-end — from problem framing to real-attack testing — to keep sharpening practical skills beyond coursework. Shipped a bilingual phishing-detection tool and a lateral-movement detector tested against real captured traffic; also built a personal AI-assistant web app on the Claude API.
Led a five-person team building a real-time, edge-to-cloud animal detection system. Designed the full system architecture from sensor to cloud, trained a custom YOLOv5 model, integrated AWS IoT Core + Lambda for 1 km proximity broadcasting, and achieved 83% mAP on Raspberry Pi 5. Recognised at the 12th National Technology Parade (Top 100).
Developed backend features using C#, SQL, and ASP.NET Core in a structured enterprise environment. Practised database operations, object-oriented programming, and web application workflows. Delivered functional modules within team sprint cycles.
Strengthened Linux CLI skills on SUSE, performed system configuration and troubleshooting in an enterprise setting. Gained foundational exposure to SAP Business One and SAP HANA, understanding how ERP systems integrate at the infrastructure level.
Built a full edge-to-cloud pipeline where a Raspberry Pi 5 continuously captures road footage, runs a custom YOLOv5 model (fine-tuned on 10,108 images of sheep, cows, dogs, and horses), and upon detection: triggers an onboard audio alert, retrieves GPS from a SIM7600 module, and publishes over MQTT/TLS to AWS IoT Core. A Lambda function then applies the Haversine formula to identify and alert all nearby vehicles within a 1 km radius — creating a collaborative road-safety mesh network. The project scored B+ on both graduation phases and was selected for the National Technology Parade.
A phishing and scam detection tool purpose-built for a gap most Western tools ignore: Hebrew and Arabic-language messages. Classifies incoming SMS/chat-style text for phishing and scam intent, with a live interactive demo to test messages in real time.
Detects lateral movement inside a network by baselining each device's normal behavior — peers, active hours, fan-out, transfer volume — and flagging deviations. Validated on a self-hosted, isolated 3-VM network: captured real mixed-protocol traffic with tcpdump/Wireshark, then launched a live SSH-based attack simulation the detector caught in real time.
A full-stack AI assistant web app built on the Claude API with a FastAPI backend and SQLite storage. Features persistent memory and a RAG-style context system so conversations carry real continuity, wrapped in a dark-themed frontend.
An encrypted messenger built around a differentiator most chat apps skip entirely: a real-time scam and phishing detection layer running on every incoming message, reusing the detection engine from my Phishing & Scam Detection Tool above. Built on the open Matrix protocol with a self-hosted Dendrite homeserver and a custom client (rather than forking Element, to avoid its AGPLv3 obligations), so the security layer is native to the app instead of bolted on. Currently in active development, building it out feature by feature.
Co-designed a modular orbital debris cleanup satellite for Low Earth Orbit using a net-and-gel capture mechanism for small debris and a laser array for larger fragments, with a recycling unit and research core onboard. Led concept documentation and mission architecture presentation.
Team Orion · Sustainable Orbit Sweeper mission concept · Recognised for innovation, technical feasibility, and scalable engineering thinking. Invited Participant at World Space Week 2025, Aeronautical Engineering Department, JUST.
On-Road Real-Time Animal Detection & Alert System · Graduation project selected among the top 100 projects nationwide for real-world engineering impact and AI-edge integration.
Selected as an invited participant at World Space Week 2025, hosted by the Aeronautical Engineering Department at Jordan University of Science and Technology.
Jordan University of Science and Technology · Faculty of Computer & Information Technology · Specialisation: Network Engineering and Security · Graduated Summer 2024–2025.
I'm actively seeking entry-level roles in network engineering, cybersecurity, cloud infrastructure, or IoT. If your team moves fast and cares about engineering quality, let's talk.