I am a Computer Engineering graduate from Khalifa University working where software meets the physical world: humanoid robotics, embedded AI, computer vision, networking, and real-time systems.
My favorite engineering problems cannot be solved by a model or a code file alone. The sensor has to be trusted, the decision layer has to be explainable, the motion or interface has to respond correctly, and the result has to survive real testing.
My engineering loop: observe the real system → isolate the failure → implement the smallest reliable change → verify it with evidence.
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Computer vision, robot world models, physiological sensing, network traces, and embedded inputs.
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Behavior trees, role logic, AI-assisted ranking, state machines, and uncertainty analysis.
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Humanoid motion commands, onboard inference, microcontroller control, and deployed workflows.
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Eight weeks of humanoid football software work covering restart behaviors, goalkeeper analysis, striker final-touch reliability, hardware testing, and technical leadership. Evidence: 26-page final report · 6 technical diagrams · field photos · participation certificate
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Onboard face detection and recognition on an NVIDIA Jetson Orin Nano, integrating camera input, tracking, privacy controls, and live visualization without cloud inference. Evidence: system report · architecture diagrams · demo videos · hardware demonstrations
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A TinyML system that fuses pulse and motion signals on an Arduino Nano 33 BLE Sense and streams live focus-state estimates to a browser dashboard. Evidence: firmware · dashboard · confusion matrix · feature and sensor visualizations
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A multithreaded C client/server system for live audio and video across routed subnets, validated at the transport and network layers with Wireshark. Evidence: C source · routed topology · packet capture validation · technical report
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An end-to-end client engagement system spanning responsive web delivery, lead ingestion, n8n orchestration, HTML email, response routing, HubSpot CRM, and reliability testing. Evidence: animated systems banner, 3 architecture diagrams, real workflow screenshots, technical case study
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A full-stack internal request platform with authenticated workflows, role-aware views, Supabase persistence, deployment automation, and a live product surface. Evidence: Next.js source, database schema, product architecture, live deployment
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| Period | Milestone | Engineering focus |
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| Jun-Jul 2025 | Proficien Internship | Responsive web delivery, n8n orchestration, HTML email, HubSpot CRM, debugging, and technical handover |
| 2025 | KURA at RoboCup Asia-Pacific, Abu Dhabi | C++ adjust/crabwalk behavior and set-piece positioning under competition constraints |
| May 2026 | RoboCup Asia-Pacific Tianjin Invitational | Humanoid Soccer League participation with KURA |
| Jun–Jul 2026 | KUCARS / KURA Robotics Internship | ROS 2, BehaviorTree.CPP, restart strategy, goalkeeper/striker analysis, testing, and handover |
| 2026 | BSc in Computer Engineering, Khalifa University | Intelligent systems that connect perception, decisions, hardware, and deployment |
Robotics and embedded: ROS 2, BehaviorTree.CPP, Booster T1, Jetson Orin Nano, Arduino Nano 33 BLE Sense, FRDM-KL25Z, UART, GPIO, IMU sensing
AI and vision: OpenCV, PyTorch, TensorFlow, CUDA, TensorRT, SCRFD, ArcFace, Edge Impulse
Systems and networking: Linux, sockets, TCP/IP, multithreading, Wireshark, FFmpeg, SDL
Product engineering: Next.js, TypeScript, Supabase, SQL, Vercel, Git
Automation and integration: n8n, HubSpot, Apollo, Gmail, Google Sheets, HTTP APIs, webhooks
| Domain | Repository | What is public |
|---|---|---|
| AI automation | Proficien Automation Internship | Architecture, workflow evidence, reliability model, technical case study |
| Humanoid robotics | KURA Booster Robotics Internship | Final report, diagrams, field evidence, certificate |
| Humanoid robotics | KURA RoboCup 2025 | Competition story, photos, safe C++ snippets |
| Embedded AI | UAV Face Recognition | Technical report, architecture, demos, photos |
| TinyML | Embedded Focus Monitor | Firmware, dashboard, evaluation visuals |
| Systems | TCP Multimedia Streaming | C client/server, network evidence, report |
| Embedded C | Microcontroller ATM | C implementation, hardware diagrams, report |
| Bioinformatics AI | DxVar | Research report, presentation, result visuals |
| Quantitative research | Quantum Randomness Analysis | Mathematical report and analysis visuals |
| Defensive security | Android Work-Profile Research | Lab automation, report, defensive findings |
| Full-stack product | Employee Request Hub | Next.js/Supabase source, schema, live deployment |
I am interested in robotics, embedded intelligence, autonomous systems, and engineering work where careful software has a visible physical or operational result.


