Ralph Waldo Emerson once said: "Unless you try to do something beyond what you have already mastered, you will never grow".

Data Engineer with three years of experience at SESAME, working within the Data Collection & Analysis Team. Specialized in designing and developing advanced data acquisition systems (DAQ) for scientific beamlines under Linux platforms. Bridging the gap between experimental science and high-performance data infrastructure—translating raw detector signals into structured, searchable, and citable scientific data.

Key areas of expertise include:

• Designing and optimizing real-time and batch data pipelines for efficient data handling and storage.
• Implementing data visualization solutions to support scientific analysis and experimental insight.
• Working with DAQ hardware and synchronizing FPGA-based systems, including PandABox, for precise control and data timing.
• Designing metadata workflows that integrate with user portals and comply with Experimental Data Management Policy.
• Automating DOI assignment through DataCite, ensuring SESAME Experimental Data (SED) is FAIR, persistent, and publishable.

Passionate about scientific computing, open-source technologies, and bridging engineering with research. Hold a Bachelor's degree in Mechatronics Engineering from The Hashemite University. Have previous experience in industrial automation field (1+ year).

Skilled in Programming Languages: Python, C,C++, MATLAB, and skilled in design software: Fusion 360.

Interested in Industry 4.0: Robotics, IOT, AI, ML, VR, Data Science, Big Data, Intellectualization, Digital Transformation, 3D Printing, Cyber Security.

Interested in Industrial Automation: SCADA, Control Systems, Instrumentation, IIOT.

Interested in Publications & Researches, and enthusiast to be a representative and presenter at scientific conferences.

Among my hobbies are Sports, Video Games, Films, Reading, and learning more and more Programming Languages, Computing Systems and Networks.