Summary
Keyvan Hardani is a PhD-level AI researcher and engineer based in Munich with 12 years of experience building automated, secure, and robotics-driven systems that turn everyday objects into intelligent machines. He combines hands-on AI engineering and AI safety work at his KeyvanAI practice with applied research in intelligent document processing and engineering systems at ZM-I Gruppe. His background spans full-stack and systems engineering roles in automotive (MAN Truck & Bus), cloud/automotive security, and test automation, complemented by an MSc in Cybersecurity and a BSc in Computer Engineering. Known for working across hardware boundaries and multiple languages, he bridges embedded robotics, secure cloud services, and scalable automation workflows. Outside core engineering he brings an unusual blend of technical and creative training, including musical studies, which informs his pragmatic yet inventive approach to problem solving.
12 years of coding experience
7 years of employment as a software developer
Vienna University of Technology
Musical, Musical at University of Music and Performing Arts Vienna
Munich College, General Higher Education Entrance Qualification
Master of Science - MSc Cybersecurity, Master of Science - MSc Cybersecurity at Hochschule der Bayerischen Wirtschaft (HDBW) gGmbH