People building industrial edge intelligence in the field

Architect behind Controlable’s edge-native industrial intelligence strategy, combining decades of experience in industrial innovation, digital strategy, business intelligence, machine learning and AI with a track record of building and leading multiple ventures. Shapes both the strategic direction of the company and the development of its core intelligence stack for machine intelligence, inspection and industrial asset intelligence.

Supports Controlable on industrial reliability, maintenance and embedded systems. Combines decades of industrial and technical experience — including maintenance engineering, control technology, sensor-based systems and applied technical education — and helps bridge industrial practice, technical robustness and real-world deployment.

Focused on sensing, electronics and embedded systems. With a background in Computer Engineering and hands-on experience in PCB design, C/C++ development and IoT-oriented prototyping, helps translate industrial intelligence into robust hardware and edge systems for real-world deployment.

Working across embedded software, industrial systems and platform development. With a background in Computer Engineering and experience in embedded development, robotics service engineering and industrial automation tooling, helps connect hardware, edge intelligence and the wider software platform into one integrated system.

With a background in Applied Mathematics, data science and machine learning, contributes to computer vision and AI model development for real-world inspection and monitoring applications, while continuing to broaden engineering capabilities within Controlable’s wider intelligence platform.