Karakun AG

Mike Mannion

Mike Mannion

EDUCATION

CONTACT

ABOUT

ABOUT

Mike Mannion is a Senior Software Engineer and consultant with over 35 years of professional experience in enterprise software development. His focus is on scalable Java solutions, the integration of artificial intelligence and machine learning, as well as data warehousing and business intelligence systems.

He combines deep technical expertise with pragmatic engineering, placing strong emphasis on robust, scalable architectures, quality assurance, and reliable testing strategies.

In his work, he supports leading companies in the design, implementation, and testing of AI-native applications within the Java ecosystem. He is actively involved in the development and promotion of open-source tools that help teams systematically and statistically address the challenges of non-deterministic systems.

His focus lies on professional development and testing methodologies, continuous delivery, and the forward-looking use of AI-powered development tools.

WIR SEHEN UNS BEIM PROSTEP IVIP SYMPOSIUM

Das jährliche Symposium ist das Highlight der prostep ivip Community – einer führenden Plattform für industrielle digitale Transformation. Der Verein vernetzt Industrie, Softwareanbieter und Forschung, um gemeinsam Themen wie Model-Based Systems Engineering, Software-Defined Products, digitale Zwillinge und KI-gestützte Entwicklung voranzutreiben.

WIR SEHEN UNS BEIM PROSTEP IVIP SYMPOSIUM

Das jährliche Symposium ist das Highlight der prostep ivip Community – einer führenden Plattform für industrielle digitale Transformation. Der Verein vernetzt Industrie, Softwareanbieter und Forschung, um gemeinsam Themen wie Model-Based Systems Engineering, Software-Defined Products, digitale Zwillinge und KI-gestützte Entwicklung voranzutreiben.

WIR SEHEN UNS BEIM PROSTEP IVIP SYMPOSIUM

Das jährliche Symposium ist das Highlight der prostep ivip Community – einer führenden Plattform für industrielle digitale Transformation. Der Verein vernetzt Industrie, Softwareanbieter und Forschung, um gemeinsam Themen wie Model-Based Systems Engineering, Software-Defined Products, digitale Zwillinge und KI-gestützte Entwicklung voranzutreiben.