Building tools that bridge hardware, data, and human systems.
A practical engineering portfolio spanning IoT health monitoring, automation pipelines, AI assistants, and simulation-heavy software projects.
A developer profile tuned for software engineering, embedded systems, and practical automation.
I am Zeyad Waled, a Software Engineering student at ECU focused on turning software, systems thinking, and automation into dependable working products.
My work spans ESP32-based IoT systems, C/C++ desktop and simulation projects, VR experiences, AI assistants, and business automation pipelines that remove repetitive work.
I build practical systems with clean architecture, measurable performance, and enough polish that people can trust the tool in front of them.
> whoami Zeyad Waled - Software Engineering Student @ ECU > direction Hardware-aware software, AI tools, and automation systems > location Cairo, Egypt > gpa 3.4 / 4.0
Core tools and technologies across software, embedded systems, cybersecurity basics, automation, and AI product workflows.
Automation, people operations, and technical leadership across remote and student-branch environments.
Spinners Creative Agency
IEEE ECU Student Branch
Project work focused on software engineering, embedded interfaces, AI assistants, and commercial automation.
Built because small clinics should not have to manage patients, appointments, records, and payments across disconnected spreadsheets.
Full desktop hospital app covering patient registration, appointments, medical records, and billing. The work is strongest when presented as a workflow product, so the visual slot should show the final UI rather than only repository code.
Built to make banking edge cases testable in a controlled simulation before any real account balance is at risk.
C++ simulation of ATM behavior with authentication, transaction handling, and account operations. The project should be judged on architecture clarity, so the strongest visual is a class map plus a sample edge-case flow.
Built because useful AI feels easier to trust when it has a friendly physical presence instead of living only in a chat box.
AI assistant prototype built around a friendly physical interface and conversational interaction model. The project is strongest when framed as an assistant experience: a recognizable device, a simple user prompt, and a useful response shown through the screen or connected software.
Built because continuous vital tracking should not require hospital-grade equipment that costs thousands.
IoT health monitor integrating MAX30102, MPU-6050, and DS18B20 sensors on ESP32. The project demonstrates embedded reliability through sensor fusion, real-time display logic, and an 8-hour stress test with zero crashes.
Built because small teams lose real revenue when outreach, follow-up, and reporting depend on manual copy-paste work.
Commercial automation work promoted from experience into a project because it has measurable business value. The systems reduced repetitive operations, improved outreach flow, and connected technical automation directly to client conversion.
Recognition for leadership, engineering contribution, and social impact work.
IEEE ECU Student Branch recognition for contribution, leadership, and consistent branch impact.
ECU Faculty of Engineering & Technology recognition for technical and community participation.
Recognized for social impact projects connecting entrepreneurship, execution, and community value.
Cybersecurity, networking, infrastructure protection, IoT, and AI foundations.
Project Demo