Meet Our Team

The innovative minds behind Eco3D's revolutionary 3D printing platform

Team Leader
LEADER

Hassain Alsayhah

Project Manager

Hassain is a software engineer who is specialized in project management. He is a visionary leader with a passion for 3D printing and automation. He leads Eco3D with the mission to revolutionize the 3D printing industry by solving the automation challenges that have limited its growth potential.

Web Engineering SME
WEB

Abdullah Abuzaid

Development Lead

Abdullah is a software engineer with high experience in automation and 3D printing. He is responsible for the full stack development of Eco3D's platforms. He is a strategic thinker and a problem solver, with a passion for creating solutions that drive efficiency and productivity.

Web Engineering SME
WEB

Ali Alqutayfi

Web SME

Ali is a software engineer with strong knowledge in web engineering, and AI. He is responsible for the frontend and backend development of Eco3D's platforms. His design expertise is great addition to the team. He is also a team player, working anywhere and anytime to make sure the team is on track.

Hardware SME
HARDWARE

Ahmed Bukhamsin

Hardware Engineer

Ahmed is a software engineer with a strong knowledge in IoT, cyber security, and full stack development. He is responsible for the hardware development of Eco3D's solution. His strong skills in hardware and software integration make him a valuable addition to the team.

Hardware SME
HARDWARE

Abdulmohsen Al Ali

Hrdware SME

Abdulmohsen is a software engineer with strong knowledge in automation. He leads the hardware team. His work involves ensuring that 3D printers connect seamlessly with the Eco3D's platforms. His innovative work with hardware components has streamlined the setup process efficiently.

AI SME
AI

Ahmed Almohammed

AI & Computer Vision Engineer

Ahmed is a software engineer with strong knowledge in AI, and cloud engineering. He leads the development of Eco3D's AI-powered failure detection system. His expertise in computer vision and machine learning algorithms enables the platform to identify printing issues in real-time.