Machine Automation
Control architecture, PLC/PAC software, HMI, industrial communication and system integration.
Industrial automation engineer with 17+ years of experience across machine control, motion, robotics, industrial data and AI-enabled manufacturing.
My work has evolved from machine automation and motion control into industrial connectivity, production data and AI-assisted manufacturing — while remaining grounded in real machines, commissioning and production problems.
My career began with machine automation, PLC software and commissioning. Over time, increasingly complex motion systems, robotics and synchronized machinery became a major part of my work.
As production systems became more connected, my focus expanded into industrial networks, OPC-based data architectures, production analytics and digitalization. More recently, machine vision, thermal imaging and deep-learning applications became part of the same engineering journey.
I approach engineering problems not only from the perspective of the control system, but by considering machine behavior, the production process and real field conditions together.
Understand the real production problem before selecting technology
Define the architecture before developing the software
Consider mechanical, electrical and control behavior together
Develop systems that can be commissioned, diagnosed and maintained in the field
Use data to validate assumptions and guide improvement
Focus on practical engineering value rather than technology for its own sake
My experience includes machine development, system integration, troubleshooting and commissioning across different production environments, as well as international projects and on-site commissioning work.
Working directly with machines on the factory floor has shaped the way I design automation systems. Software must not only work in theory; it must remain predictable, diagnosable and maintainable during real production.
Control architecture, PLC/PAC software, HMI, industrial communication and system integration.
Servo systems, synchronized motion, kinematics, robotics and high-performance machine functions.
Industrial networks, OPC, production data, SQL, visualization and analytics.
Visible and thermal imaging, rule-based vision, deep learning and production integration.
Different disciplines, but often parts of the same production system.
I’m most interested in engineering problems where automation, motion, data and production knowledge need to work together rather than independently.