High-achieving Mechatronics Engineer (Class of June 2026, Excellent With Honors, 90.27%, Ranked 5th out of 120+ students) with a multidisciplinary background in robotics, AI, and industrial automation. Proven Team Lead for complex engineering projects, demonstrating strong capabilities in coordinating technical workflows and system integration. Gained practical industrial exposure through a residency at YCIC (HSA Group). Passionate about driving operational efficiency through control systems and industrial automation.
- π οΈ Currently developing and optimizing intelligent workflows using Azure AutoML and Edge-AI frameworks.
- π‘ Special interest in Predictive Maintenance, Computer Vision (YOLO), and Industrial IoT networks.
- π€ Open to collaborations on innovative AIoT and Smart Manufacturing projects.
- PLCs & Control: Siemens S7-1200/S7-300 (TIA Portal), Allen-Bradley Micro800, Factory I/O.
- SCADA / HMI: Ignition SCADA, WinCC, Streamlit Dashboards.
- Protocols & Networks: OPC UA/DA, MQTT, PROFINET, Modbus TCP/IP.
- AI/ML & Vision: YOLOv8/v3, Azure AI Vision, RAG (Retrieval-Augmented Generation), SLMs (Phi-3.5).
- Languages & Frameworks: Python, C++, ROS 2, MicroPython, MATLAB/Simulink.
- Hardware Integration: ESP32, Arduino, Raspberry Pi, Hardware-in-the-Loop (HIL) Testing.
- πΌ LinkedIn: https://www.linkedin.com/in/ezzeldin-almuliki
- π§ Email: ezzeldin.almuliki@gmail.com
- π Portfolio: Explore my pinned repositories below to see my project architectures and code implementation!
