Speakers

Clemens Meier

Clemens Meier

Senior Research Assistant and Lecturer

OST – Ostschweizer Fachhochschule (Eastern Switzerland University of Applied Sciences)

Clemens Meier – Senior Research Assistant and Lecturer at OST

Clemens Meier is a software engineer, lecturer and senior research assistant at OST – Eastern Switzerland University of Applied Sciences and a member of the AI Application and Deployment Lab.

His work focuses on applied software engineering, with a particular emphasis on UI-intensive business applications and frontend architecture. He specializes in designing systems that remain maintainable as they grow in complexity, combining pragmatic architecture with real-world implementation experience. A recurring part of his work is rebuilding existing frameworks from scratch to fully understand their underlying principles and limitations.

With over 30 years of experience - starting from early systems developed in Pascal to modern full-stack and AI-enabled applications - he has designed and built complex software systems across domains, including ERP, CRM, CMS, medical information systems and university platforms. He also has extensive experience in consulting and advising on software architecture and system design. His work consistently focuses on long-term system evolution, reducing accidental complexity and improving development efficiency in production environments.

Within the AI Application and Deployment Lab, he contributes to applied projects at the intersection of software engineering and AI-enabled systems, focusing on how AI can be effectively integrated into development workflows without sacrificing control, transparency, and architectural integrity.

Since 2011, he has been active at OST in teaching, applied research and software development. In his teaching, he emphasizes modern UI patterns, reactive programming and architectural approaches that bridge theory and practice.

He holds a Bachelor of Science in Software Engineering from the former HSR (now OST). His work is driven by the conviction that complex systems only remain successful if they stay understandable, maintainable, and aligned with real-world constraints.